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Word News
The World of Words: dictionaries, glossaries, lexicography and terminology Curated by Charles Tiayon |
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
In this article you can find a exclusive AI glossary, a list of all artificial intelligence terms such as Machine Learning, data science, ImageNet, neural network, sentiment analysis, Turing test and more.
The most completed list of Artificial Intelligence terms as a dictionary is here for you. Artificial intelligence is already all around us. As AI becomes increasingly prevalent in the workplace, it’s more important than ever to keep up with the newest words and use types. Leaders in the field of artificial intelligence are well aware that it is revolutionizing business. So, how much do you know about it? You’ll discover concise definitions for automation tools and phrases below.
Table of Contents
It’s no surprise that the world is moving ahead quickly thanks to artificial intelligence’s wonders. Technology has introduced new values and creativity to our personal and professional lives.
While frightening at times, the rapid evolution has been complemented by artificial intelligence (AI) technology with new aspects. It has provided us with new phrases to add to our everyday vocab that we have never heard of before. Artificial Intelligence also gave new connotations to old words.
The benefits of AI-assisted customer support for the current generation are self-evident: the technology is here to change people’s lives and will undoubtedly stay.
You’ve undoubtedly heard the phrases “data mining” and “machine learning,” but you’ve never been able to find a succinct definition for what you were reading. Now? You don’t have to go very far to find one.
The following are brief definitions of Artificial intelligence terms. So let’s begin!
This statistic indicates how successful your AI model is at predicting outcomes. The number of correct predictions is divided by the total number of predictions made. We talked about this topic in What Is Data Accuracy? (And How to Improve It).
Adversarial machine learning is a type of machine learning that seeks to toughen models through adversarial input. It seeks to make it easier for machine-learning methods in adversarial settings such as spam filtering, malware detection, and biometric identification.
Software developers may employ a collection of commands, procedures, protocols, and objects to build applications or communicate with an external system.
A pattern of procedures or instructions given to an AI, neural network, or other devices to assist them in learning on their own; classification, clustering, suggestion, and regression are four of the most common sorts.
The ethics of technology are explicitly concerned with artificially intelligent systems. Biases may significantly impact machine learning algorithms that are trained from data, ranging from gender to race to age to economic status and everything in between.
Artificial intelligence (AI) frameworks make it easier and faster to develop machine learning/deep learning, neural networks, and natural language processing (NLP) applications by providing ready-made solutions. The most popular open-source AI frameworks are TensorFlow, Theano, PyTorch, Sci-KitLearn, Keras, Microsoft Cognitive ToolKit, and Apache Mahout. It is one of the most searched Artificial Intelligence terms.
AGI is a computational system that may execute any intellectual function that a human can. Also known as “Strong AI.” At the moment, AGI is just a concept. We talked about this more in The search for artificial general intelligence (AGI).
A computer program that simulates aspects of human intelligence but focuses on a single, specific function. Narrow AI is also known as focused artificial intelligence (AI) in distinction to AGI.
Artificial intelligence and machine learning are based on the human brain’s neural network designs, particularly the brain. It is one of the most searched Artificial Intelligence terms.
Autonomy is a state of being free from external constraints. An autonomous machine or vehicle does not need human input to operate.
The reverse technique is in which machines work forward from the intended objective or output to see whether there is any evidence to support those aims or outputs.
Backpropagation is a method of teaching neural networks based on a known, desired output for certain sample circumstances.
Assumptions are added to the model to make learning easier. Most supervised machine learning algorithms work best with minimal bias since these assumptions might harm results.
Big data is too large or complicated for general data processing applications to handle. It is one of the most searched Artificial intelligence terms.
The bounding box is drawn on visual information frequently used in image or video tagging. The box contents are labeled to assist the model in recognizing it as a distinct sort of thing.
A query that is not limited by clustering/approximations; it explores all inputs. Typically more time-consuming and costly, but more thorough.
Convolutional neural networks are deep artificial neural networks used to classify pictures (e.g., identify what they see), group them by similarity (photo search), and recognize objects in scenes.
The electronic circuitry in a computer executes the commands of a computer program by executing basic arithmetic, logical, control, and I/O operations specified by the instructions.
Artificial neural networks are a type of machine learning in which small inputs from a user, such as photographs or videos of their products, are converted into predicted concepts.
A chatbot is a software application that imitates human-to-human conversation through text or voice commands.
Cognitive computing is often referred to as artificial intelligence, but it’s more accurately described as AI. It’s utilized by marketing teams to minimize AI’s mystique in some businesses. It is one of the most searched Artificial Intelligence terms.
The field of machine learning is concerned with creating and analyzing algorithms that learn.
A multidisciplinary scientific discipline that investigates how computers can be programmed to understand digital images or movies at a high level. It focuses on automating activities that the human visual system can perform.
A data architect is a person who practices data architecture, a field of study concerned with designing, generating, deploying, and managing an organization’s data architecture. Data architects are frequently involved in AI initiatives.
Pattern discovery identifies trends in vast data collections to extract useful information from data mining.
This interdisciplinary subject, data science, which draws from statistics, computer science, and information science, seeks to apply various scientific approaches, methods, and systems to address data issues.
Because data is at the heart of every AI application or solution, gathering all of the data necessary to develop machine learning and inference models is critical. A data lake is a term used to describe the process of merging all of the information (both structured and unstructured) into a central repository.
A data manager is a person who is responsible for lawfully obtaining the correct data type for training AI systems by working with data scientists. A data manager works with data architects to make sure that obtained information is correctly versioned and stored so that it may be analyzed and audited. A data manager must also ensure that the life cycle of the data is managed under legal and organizational standards while also ensuring that appropriate governance is provided over the collection, usage, and disposal of this information.
A data scientist can be someone, a company, or an application that performs statistical analysis, data mining, and retrieval operations on a large amount of data to discover trends, figures, and other relevant information.
Deep learning is an artificial intelligence technique that mimics the human brain by learning from how data is structured rather than a pre-programmed algorithm. It is one of the most searched Artificial intelligence terms.
The input and output layers of an artificial neural network (ANN) are separated by multiple intermediate layers. It uses sophisticated mathematical modeling to process data in complicated ways.
It was proposed by film critic Roger Ebert at the 2011 TED conference as a challenge for software developers to have a computerized voice master the inflections, delivery, timing, and intonations of speaking people. The exam is comparable to Turing’s test, which was created in 1950 to determine if a computer could exhibit intelligent behavior by producing a human performance.
A recurrent neural network is used with a sparsely connected hidden layer (with typically 1% connectivity). The hidden neurons’ connectivity and values are set and randomly assigned. Output neuron weights can be learned so that the network may (re)create specific temporal sequences. The focus of this network is that, while its behavior is non-linear, the only weights modified throughout training are those connecting hidden neurons to output neurons. As a result, the error function is quadratic and may be differentiated easily from a linear system. It is one of the most searched Artificial Intelligence terms.
Labeling unstructured phrases with data so that a computer can comprehend them is known as information extraction. This might include labeling all persons, organizations, and locations in a document.
An umbrella term that refers to the process of structuring data so that a computer may understand it. Humans or a machine learning algorithm may do entity extraction.
F Score is the average of recall and precision correct rates.
Facial recognition is a computer program that can recognize or authenticate a person. One approach to do so is by comparing specific facial features in the picture with a face database. It is one of the most searched Artificial Intelligence terms. We have an interesting article called Hacking Tinder with Facial Recognition & NLP about this topic.
An incorrect prediction where a model mistakenly assumes an input does not have a required result when one actually exists. (Actual Yes, Predicted No)
False-positive is an error in a model’s prediction of the presence of the desired result in input when it is not present (Actual No, Predicted Yes).
A method in which a machine must go from an issue to solving it. The AI must evaluate many options to determine which hypotheses are relevant to the problem.
Game AI is a type of AI that uses an algorithm to replace randomness in video games. It’s a computational behavior used by non-player characters to generate humanlike intelligence and reactive behaviors taken by the player in games. It is one of the most searched Artificial intelligence terms.
A machine learning approach in which two neural networks compete to create new data with the same statistics as the training set. GANs, for example, are utilized in fashion, art, and marketing, but they are also becoming increasingly popular among malicious attackers to spread false news. It is one of the most searched Artificial Intelligence terms.
General AI is artificial intelligence (AI) that can successfully complete any intellectual activity that a human may. The term “General AI” is sometimes used interchangeably with “strong AI,” although they aren’t precisely the same thing.
A genetic algorithm, or GA, is a method based on genetics that is used to solve challenging issues in an efficient and timely manner.
Though the words “hyperparameter” and “parameter” are sometimes used interchangeably, they have distinct meanings. Hyperparameters are parameters that impact how your model learns. They’re usually set manually outside of the model. It is one of the most searched Artificial Intelligence terms.
Image recognition is the capacity of software to recognize things, places, people, text, and activities in photographs.
Image segmentation is the process of dividing a digital image into several parts/fragments to make the representation of an image simpler to analyze. Segmentation separates whole images into pixel categories, which may be labeled and classified.
Segmentation is the act of putting a bounding box around the target object in a picture and drawing a pixel-by-pixel outline of that object, leaving the background intact.
An extensive visual database that is intended to be used in computer vision software development. ImageNet has hand-annotated over 14 million URLs of images to reveal what objects are shown. Bounding boxes are also provided in at least one million of the pictures. It is one of the most searched Artificial intelligence terms.
The first phase of the competition is a research project. Teams evaluate their algorithms on the supplied data set and compete to achieve higher accuracy on several visual recognition problems.
In machine learning, a technique for extracting marginalization in general graphs. In other words, it entails performing belief propagation on a modified graph known as a junction tree. Because the graph divides into several parts of data and variable nodes are the branches, it is referred to as a tree.
A knowledge-based system is an application that utilizes a knowledge base to tackle complex issues. The phrase is broad and refers to a variety of systems. The one common element that all knowledge-based systems have in common is the desire to express knowledge explicitly and a reasoning mechanism that enables it to generate new information. As a result, a knowledge-based system has two characteristics: a knowledge base and an inference engine. It is one of the most searched Artificial Intelligence terms.
A programming paradigm that is primarily based on formal logic. A set of statements in logical form, expressing facts and rules about a problem domain, is any program written in a logic programming language. Answer set programming (ASP), also known as solution-oriented programming (SOP), and Datalog are examples of significant logic programming languages.
Machine intelligence is an umbrella term for machine learning, deep learning, and conventional algorithms.
Robots are still in the early days of AI, but it is a field that is moving forward quickly. Machine learning refers to the ability of computers to learn without being explicitly programmed. Computers “learn” via patterns they detect and adapt their behavior as a result. It is one of the most searched Artificial Intelligence terms. On the other hand, machine learning engineering is a great career opportunity nowadays.
The capacity for a system to acquire and comprehend information from the environment in the same manner that humans do with their senses.
In a nutshell, Machine translation is the application of NLP to language translation (human-to-human) in text and speech-based conversations.
Taking a cutting-edge machine learning model into production web infrastructure is known as MLops or machine learning operations. Machine learning models are developed and tested in experimental environments. When an algorithm is deemed fit for widespread usage, data scientists, DevOps, and machine learning experts collaborate to move it to production systems through MLOps.
A model’s accuracy is measured by how frequently its predictions are incorrect.
A neural network is a computer system that functions as the brain of a human. Although researchers are still attempting to construct a computer model of the human brain, current neural networks can already accomplish many things regarding speech, vision, and board game strategy. It is one of the most searched Artificial Intelligence terms. If you’d like to learn more about this topic, check out article: The History of Neural Networks.
Natural language generation (NLG) converts structured data into text or voice that humans can comprehend. NLG is concerned with what a machine writes or says as the conclusion of the communication process.
Natural language processing (NLP) is the capacity of computers to comprehend or extract meaning from natural human languages. NLP generally entails computer interpretation of text or speech recognition.
Natural language understanding, as a part of natural language processing, aims to assist machines in understanding the intended meaning of language — taking into account its subtleties and grammatical mistakes.
The process of converting text images (typed, handwritten, or printed) either electronically or manually into machine-encoded text is called OCR.
Overfitting is a term frequently used in AI. Overfitting is a sign of machine learning training in which the algorithm can only work on or identify specific examples from the training data. A functioning model should be able to generalize patterns seen in the data to tackle new instances. It is one of the most searched Artificial intelligence terms.
The difference between pattern recognition and machine learning is sometimes blurred, but the goal of this discipline is to discover patterns and trends in data.
Prescriptive analytics is a form of data analysis that uses technology to assist organizations in making better judgments by analyzing unprocessed data. Prescriptive analytics involves the analysis of factors such as possible situations or scenarios, accessible resources, past performance, and present performance. It offers recommendations for action or strategy on a time frame ranging from immediate to long-term. Businesses may use it to make decisions on any time scale, from immediate to long-term.
This type of analytics is designed to forecast what will happen in a specified time frame based on previous data and patterns. We prepared article about preventing bias in Predictive Analytics before. You might want to check that out.
The PPV is similar to precision, but it considers prevalence. The positive predictive value is equivalent to precision when the classes are perfectly balanced (the prevalence is 50%).
Pruning is the practice of limiting undesirable answers to a problem in an AI system using a search algorithm. The number of alternatives available to the AI system is reduced.
Quantum computing is applied to compute using quantum-mechanical phenomena such as superposition and entanglement. This calculation may be done theoretically or in reality, and a quantum computer is used to perform it. It is one of the most searched Artificial intelligence terms. You can also learn about quantum machine learning in this article.
A recurrent neural network (RNN) is a sort of neural network that understands sequential data and patterns, generates outputs resulting from those computations, and learns.
A recommendation system (sometimes also known as a recommendation engine) is a form of information filtering that aims to determine the “rating” or “preference” that a user would give an item.
Reinforcement learning is a type of machine learning that involves an algorithm that learns by interacting with its surroundings and is then penalized or rewarded depending on how it acts.
AI-powered automation software such as RPA helps automate dull, time-consuming activities that people might have previously done. You can read our article about how RPA is getting advanced in The age of hyperautomation: Automate everything possible.
AI glossary: Artificial intelligence terms that you should know (2022)ROC Curve is a typical graph that summarizes the performance of a classifier over all possible levels. It’s made by plotting the True Positive Rate against the False Positive Rate as you change the threshold for putting observations into different categories on the y-axis.
A form of semantically based indexation is the labeling of distinct search queries or items to enhance a search engine’s relevance.
A request is submitted to a search engine by a user to fulfill their information needs. A “visual search query” is defined as the result of a query comprised entirely of visual content.
The study of the viewpoints and opinions within a piece of text is generally to determine the writer’s attitude toward something. It is one of the most searched Artificial intelligence terms.
A “Standard Classification” concept is to categorize an input into one of a predetermined number of categories. This is sometimes accomplished in machine learning by learning a function that maps an input to a score for each potential category.
The term “structured data” refers to any information that is generated, collected, and analyzed in a linear, tabular, organized way. Business data produced within companies using standard applications would be an example of structured data.
The main objective of AI technology is to produce systems that are as intelligent and skilled as the human mind. It is one of the most searched Artificial intelligence terms.
Supervised Machine Learning is a type of machine learning in which output data train the machine to produce the correct algorithms, such as a teacher guiding a student. It’s more prevalent than unsupervised learning.
From the perspective of the mathematical modeler, it is an emergent behavior based on basic rules that people follow without any central coordination.
The uncategorized data demonstrates that a machine learning model can complete its designated function.
TensorFlow is an open-source machine learning library that’s used for various purposes, including neural networks. It was released under the Apache 2.0 open source license in 2015 and is utilized for research and production at Google. It is one of the most searched Artificial intelligence terms.
The term “training data” refers to all of the data used throughout training a machine learning algorithm and the particular dataset utilized to train rather than test.
Transfer learning is a technique that combines existing knowledge with novel data and uses it to tackle new activities.
The Turing test assesses the capacity of a machine to mimic human behavior. The evaluation consists of a real-world conversation between a person and another individual and a computer, in which the participants are assessed on their understanding. It is one of the most searched Artificial intelligence terms. Do you want to know which AI has come closest to passing the Turing test?
The term “unstructured data” refers to data that may have multiple sources, such as online digital files, text documents, SMS messages, video clips, photos, voices, sensors, pings, etc. The majority of the data created today is unstructured data, which is one of the keys to AI’s growth.
Unsupervised learning is a form of machine learning technique that concludes datasets with unannotated data. Cluster analysis is the most frequent type of unsupervised learning. You can also read about what’s The Difference Between Supervised and Unsupervised Learning.
This data is structured similarly to training data, with input and labels, and it’s used to evaluate a recently trained model against new data and assess performance, with a particular emphasis on detecting overfitting.
The degree to which a machine learning model’s intended purpose varies as it is being educated. Despite their flexibility, models with considerable variance are vulnerable to overfitting and low predictive success since they are dependent on their training data.
Queries, also known as sentences or utterances, are artificial language processing that works in tandem with intents. The distinction is what someone might say to achieve a specific aim or goal. For example, if the aim is “pay by credit card,” the variation maybe “I’d want to pay by credit card, please.”
Validation Data Set is a sample of data used to evaluate the accuracy of a model fitted on the training set while tuning model hyperparameters. As skill on the validation dataset is incorporated into the model configuration, the evaluation becomes more biased.
It’s a new type of microprocessor and an AI accelerator created to speed up machine vision activities.
Visual Recognition is the capacity of computer software to recognize items, locations, people, text, and activities in photographs and videos.
The term “weak AI” refers to a non-sentient computer system that operates under set parameters and focuses on a single activity or a small number of activities. Weak AI is the most prevalent sort of AI currently in use. It is one of the most searched Artificial intelligence terms.
An automated Web surfer goes from one site to another, usually seeking to index the Internet for a search engine.
A bot or web crawler is used to automate operations. It’s a type of replication in which data from the Internet is collected and copied into a central local database or spreadsheet for future retrieval or analysis.
"The most completed list of Artificial Intelligence terms as a dictionary is here for you. Artificial intelligence is already all around us. As AI becomes increasingly prevalent in the workplace, it’s more important than ever to keep up with the newest words and use types. Leaders in the field of artificial intelligence are well aware that it is revolutionizing business. So, how much do you know about it? You’ll discover concise definitions for automation tools and phrases below."
#metaglossia note
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
Carl Linnaeus invented our taxonomy system. Like God in a lab coat, he used the system to classify and name species from polar bears (Ursus maritimus) to garlic (Allium sativum). Potentially, he took on this work because he himself was renamed three different times.
I’ll call him Carl Nimaeus—the name he was given at birth. I don’t know which name he preferred, which name he would have turned at most quickly if it was called out behind him.
He was born in 1707 in Sweden, back when the patronymic system was still in use. This meant his last name, Nimaeus, came from his father’s first name, Nils. His sisters were given the female version, Nimaea. This word was not so much a name, as a prepositional phrase: of Nils. The child’s identity derived from being the property of the dad.
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As a child, I regularly visited my uncle’s farm in Quebec. There were feral cats everywhere, pouncing on mice in the fields, cleaning themselves on the stone wall, giving birth to mewling kittens in the hay loft.
During the winter, the cats searched for warmth. They’d sleep curled up on a horse’s back in its stall. They’d press against the farmhouse windows, staring in, their coats puffed out and eyes as big as a raptor’s. When the car drove up and parked, they’d jump onto a front tire to climb into the warm engine block. Each morning, before my uncle got into the car, he slapped the hood hard with his hand. The cats flew from the tire wells like rabbits from a hat. I did not ask if he did this to protect the cats or the engine.
None of these cats were named, any more than the chickens were. The cats were not considered individuals, but only tools to catch mice.
Each night, my aunt tossed the leftovers from dinner onto the driveway for the cats. The rest of their calories, they caught. Whenever the cats became so numerous that they became bony and desperate, my uncle would collect all the kittens he could find in a bag and take them down to the stream. That and the slap on the car hood was the extent of his care.
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If the patronymic system had continued, Carl’s children would have received a different last name from his. This meant there could be no multigenerational reunions of his Of-Carl family. Instead, at the reunion, there’d be kids lining up for the barbecue with last names like Of-Lars, Of-Erik and Of-Peter.
This naming system worked well in a small town, but in a city, it could become difficult to determine which Hans Of-Thomas owed you the money.
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In 1989, my uncle’s farm changed. He didn’t want to carry kittens down to the river anymore, so he asked my veterinarian sister to neuter the cats. Christmas morning, he caught them all and my sister anesthetized them. At one end of the kitchen counter, my aunt prepped the turkey, its legs splayed open for stuffing; at the other end, my sister worked on the splayed cats—both my aunt and sister humming along to Bing Crosby.
After that, there were no new kittens. With fewer cats, my aunt and uncle began to recognize several and appreciate their personalities: the big hunter with the bent tail, the stray Siamese who cried like a baby. The next winter vacation, I noticed they let their favorite cats sneak into the house on particularly cold days.
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With Swedish cities getting larger, the government was having difficulty collecting taxes—too many people with the same name. Thus, the government ruled that each family should rename itself, selecting a unique name to be passed down on the male side of the family. To attend university, Carl’s dad had to register his family’s new last name.
It’s possible he thought hard about it—this word that he and his wife and their kids and descendants would be known by, this name that would become famous, taught in biology classes for centuries. Or, perhaps, he was irritated with the paperwork and believed this new system was a fad. Maybe he did nothing more than glance out the window and write down the first thing he saw.
The family was named after the large Linden tree on their property. Carl’s last name became Linnæus.
Being named after a tree seemed appropriate since Carl loved plants from the earliest age. He loved wandering through the garden, memorizing details about organisms that did not move, becoming a walking botanical encyclopedia. If he lived in the present day, his ability to fixate on and memorize enormous amounts of arcane scientific information may have been considered a potential indicator of autism; however, back then, that diagnosis did not yet exist. Instead, he was simply a child who could retain enormous amounts of information about plants.
And there was a lot to retain, since experts didn’t agree on the names of plants or even how many species there were. One expert announced there were 12 kinds of daisies, naming several after his siblings. The next declared 14 species, named after his local streets. With no real system to the classification or names, the experts duked it out for popularity. Carl read them all, primarily in Latin, the language of learning. His teachers told his parents he would not amount to much—perhaps he could apprentice to a cobbler.
As Carl grew older however, one teacher (who knew some botany) recognized his knowledge and unswerving allegiance to logic, so Carl was allowed to attend university. By that point, he loved Latin and thus, at the age of 21, he registered himself for school as Carolus.
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Most people don’t name their pets anymore based on physical attributes, no more Snowflake or Fluffy. The other day, waiting at a veterinarian’s office with my dog, I heard the receptionist phoning clients with appointment reminders. She said, I’m calling about Henry’s check-up. Or, Hey, Jeanie has a Tuesday appointment.
This trend toward giving pets human names comes from a change in why we want a pet. Never forget that order: a need changes our words, then those words change our thinking and actions.
In the appointment, the vet asked me if I was my dog’s “mommy” (this question was a trifle disturbing coming from a medical professional).
Throughout these shifts in naming conventions, cats and dogs have remained the same. What’s changed is the need the animals fulfill, and how we refer to them reveals that need. A tool to kill mice. A cuddly object. A surrogate child.
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When Carl was young, there was no standardized spelling of words. There were no clear rules (I before E except after C), no national spelling bees showcasing children with eidetic memories asking, Language of origin? Spelling just had to be phonetic enough that the word was understood. Color was fine, as was Colour and Culler.
This must have irritated an exacting person like Carl. To give you an example of his character, in his mid-twenties, he visited Hamburg. The mayor showed Carl his most treasured possession, the taxidermied body of a many-headed hydra—a relic worth a small fortune. Carl examined the body and discovered the hidden sutures enclosing the bones of weasels in the skins of snakes. Without hesitation, he told the mayor. He believed everyone loved the truth like him. He was thrown out of town.
I’ve always thought there’s a large difference between being clever and being wise. Carl was a clever man, filled with facts. He could have triumphed on Jeopardy week after week, stating esoterica with speed. However, to paraphrase Einstein, being wise is less about answering a problem quickly, and more about having the good judgment to avoid the problem. At times, Carl wasn’t capable of that.
It’s possible that his society’s loosey-goosey imprecision with spelling and names was partly what motivated him to take on the task that made him famous: classifying and naming all of life in a logical way. He created a system based on each species’ unique unchanging characteristics. Perhaps he wished he himself had been named as thoughtfully.
Of course, Carl started with classifying and naming plants. He grouped them based on the number and type of pistils and stamens, whether the seedling had one leaf or two. Each category and species was named for what made it unique. A genus with poisonous levels of tropane alkaloids was called Atropa, after the Greek Fate responsible for cutting the lifeline. He named a species in that genus belladonna—beautiful lady—after the fact that women at the time took small amounts to dilate their pupils in a striking way. His names were infectious: easy to remember and useful.
He classified and named animals in the same way, using the similarity of physical structures. Chordata meant animals with backbones. Mammalia, a subgroup, were those with mammary glands.
He published these names in his first book Systema Naturae. It was just 14 pages long, but it went viral, its impact still felt today. He spent the rest of his life refining the concepts and details in his publications.
Other humans, however, continued to be sloppy. Carl’s name on his books ranged from Caroli to Carolo, from Linnæo to Linnaei—as though his publisher was unsure and making guesses, mumbling names at a cocktail party. And ironically, after his work became famous, Carl was reclassified again, this time as a noble. He was renamed Carl von Linné.
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New terms can erode assumptions, allowing the mind to flow in unaccustomed directions.
The term super-spreader shifts how we feel stepping into a crowded room. Gig economy widens our focus on a single job. Structural racism changes how some of us see that high-school photo of the all-white AP class. Over time, new terms can widen our perceptions, changing how we think and act.
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Dig a wide pit 15 feet down into the ground, then step back and you can see time.
In the dirt’s cross-section, each epoch is scribbled in a different color and density. Cambrian, Permian, Cretaceous.
There’s an official push to rename our current era: Anthropocene. A few millennia from now, archeologists digging in the ground will come to a different layer. Less pollen, fewer tree trunks, a vast reduction in the bones of wild animals. A layer of ripped aluminum foil and plastic bits and chicken bones and radiation from nuclear tests. Even sedimentary layers of the oceans floor will show changes, the circulatory system shifted, the current that distributes salt and temperature globally. We humans are writing our autobiography in the planet’s dirt. When looked at through the lens of geologic time, our speed isn’t that different from a meteor strike.
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Terms can also narrow our perceptions. Consider the names we have for the living world, this complex biosphere that our existence depends on, that provides the food we eat and the air we breathe.
The environment? That’s like naming your child organism. Such a lack of love or awe. The term brings to mind an office cubicle, something generic you can disassemble and reshape as you wish.
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One of Carl’s names was hated. He noticed all apes (including humans) had similar physical structures, so he put them in a single family and called that family Anthropomorpha: human-like.
This term created an uproar. The church considered humans to be made in God’s image. Classifying a gorilla as human-like, meant it should not be shot, stuffed, and hung on the walls. For a decade, people wrote Carl outraged letters, declaring the name a blasphemy and obviously wrong.
Probably, he’d angered many people over his lifetime, incidents like the one with the hydra. Perhaps, gradually, he’d learned how to react better. Or maybe the uproar went on too long. Whatever the reason, he gave up on Anthropomorpha. He denied the obvious similarities with other apes and grafted an imaginary branch called Homo (man) onto the tree of life. Perching humans all alone on that branch, he named our species sapiens, meaning wise.
Wise Man, was this unctuous praise or sarcasm?
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In terms of our biosphere, is the word, nature, any better?
The way nature is used, it implies anything untouched by humans. Nature is something we watch on TV, or visit on vacation, something apart from us. But we are nature, in the same way a deer or orangutan or mushroom is. It roils in our lungs and hearts. If it goes wrong in our guts, we can end up in the hospital or morgue.
If we used a better word for our living miracle of a home, would our thinking change? If the word helped us understand our dependence on the biosphere for every inhalation and morsel of food, would our actions change? Name your dog Richard and it’s harder to mistreat him.
*
Carl, a man honest to a fault, had denied the truth. He created the genus of Homo sapiens to allow us to ignore all we share with other great apes: fingernails and French kissing, the rapid pant-pant of laughter and the ability to recognize ourselves in mirrors, to love our children and, at times, to die of grief.
What term should we use for our biosystem? We need a name both memorable and useful, one that viscerally conveys the importance of its health.However, fossils and genetic sequencing have shown his original classification was close to right. Scientists have moved humans back onto the branch with the rest of the great apes, and then out onto the same twig with chimps and bonobos, who are both classified in the genus of Pan (chimpanzee).
It turns out we are genetically as similar to both of them as species of finches are to one another. There’s no justification for our genus. If we were honest, we would reclassify ourselves as Pan sapiens. Wise chimp.
But we are a chimp who has a single-minded focus on tools and facts, who has a much greater facility with answering problems quickly, than avoiding them. A chimp reminiscent of Carl, more clever than wise. Perhaps we should call ourselves Pan vorsustus. Clever chimp.
*
How do you evaluate us clever chimps? In the past we’ve focused on characteristics that made us unique—tool use or brain size. However, modern science has shown even molluscs can use tools. Dolphins, elephants and whales have larger brains for their body size. Even when we pick the criteria, we don’t win the competition.
And why do we insist on this competition? It’s like wondering if red blood cells are more important than liver cells. Outside the body, both become just a drying smear. It’s the system, not the parts, that matters. It’s time we became wise. To exist, we need mollusks, elephants and dolphins; we need trees, beetles and bacteria.
We are now using CRISPR to improve our health. Let’s use words to change how we think and act. What term should we use for our biosystem? We need a name both memorable and useful, one that viscerally conveys the importance of its health.
What about The Body? This gives an image even clever chimps can understand. The Body allows us to feel the damage. The Body has a rising temperature. Its circulation is slowing, oxygen levels lowering.
Perhaps with the term, The Body, we can change our actions so we write a better, longer autobiography in the dirt.
__________________________________
The Dolphin House by Audrey Schulman is available via Europa Editions.
"There’s an official push to rename our current era: Anthropocene. A few millennia from now, archeologists digging in the ground will come to a different layer. Less pollen, fewer tree trunks, a vast reduction in the bones of wild animals. A layer of ripped aluminum foil and plastic bits and chicken bones and radiation from nuclear tests. Even sedimentary layers of the oceans floor will show changes, the circulatory system shifted, the current that distributes salt and temperature globally. We humans are writing our autobiography in the planet’s dirt. When looked at through the lens of geologic time, our speed isn’t that different from a meteor strike.
*
Terms can also narrow our perceptions. Consider the names we have for the living world, this complex biosphere that our existence depends on, that provides the food we eat and the air we breathe.
The environment? That’s like naming your child organism. Such a lack of love or awe. The term brings to mind an office cubicle, something generic you can disassemble and reshape as you wish."
#metaglossia note
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
VALENCIA Actualizado:22/04/2022 16:09hGUARDAR
La Unió de Llauradors i Ramaders ha remitido un escrito a la Acadèmia Valenciana de la Llengua (AVL) para que retire la acepción «despectiva» de la palabra 'llauro' de su diccionario normativo porque, según recalca la organización agraria, «no se adapta a la realidad actual».
El Diccionari Normatiu Valencià de la AVL tiene como segunda acepción de la definición de la palabra 'llauro' «persona rústica, sin refinamiento».
La Unió considera que, «al ser una acepción que se liga, ineludiblemente, con la primera de las acepciones del diccionario, afecta de forma directa a la profesión de labrador, al que indirectamente se le puede considerar como persona rústica y sin refinamiento».
«Evidentemente, se trata de una acepción despectiva hacia las personas que se dedican, en general, al trabajo en el campo que, efectivamente, históricamente venía usándose con esta definición», razona la organización agraria, que apunta que «el sector y, concretamente, la profesión han experimento durante las últimas décadas una transformación, modernización, tecnificación y profesionalización totalmente alejada ya de los antiguos estereotipos».
La Unió señala, además, en un comunicado, que actualmente se está en un proceso de digitalización importante mediante los Fondos Next Generation del Plan Europeo para la Recuperación y Resiliencia.
En consecuencia, desde la Unió de Llauradors se solicita al ente normativo del valenciano que «inicie las gestiones adecuadas para adaptar la definición de 'llauro' a la realidad actual, evitando acepciones despectivas puesto que, en la actualidad, y en muchas ocasiones definirse como tal significa orgullo de pertenencia a la profesión de labrador o agricultor».
Por su parte, fuentes de la institución normativa han asegurado a Europa Press que escucharán los argumentos de La Unió y será «sensible» a su opinión. Las mismas fuentes han aseverado que la Acadèmia «siempre dialoga y acepta los comentarios de todos los colectivos que tienen alguna opinión que aportar».
"La Unió de Llauradors i Ramaders ha remitido un escrito a la Acadèmia Valenciana de la Llengua (AVL) para que retire la acepción «despectiva» de la palabra 'llauro' de su diccionario normativo porque, según recalca la organización agraria, «no se adapta a la realidad actual».
El Diccionari Normatiu Valencià de la AVL tiene como segunda acepción de la definición de la palabra 'llauro' «persona rústica, sin refinamiento».
La Unió considera que, «al ser una acepción que se liga, ineludiblemente, con la primera de las acepciones del diccionario, afecta de forma directa a la profesión de labrador, al que indirectamente se le puede considerar como persona rústica y sin refinamiento».
«Evidentemente, se trata de una acepción despectiva hacia las personas que se dedican, en general, al trabajo en el campo que, efectivamente, históricamente venía usándose con esta definición», razona la organización agraria, que apunta que «el sector y, concretamente, la profesión han experimento durante las últimas décadas una transformación, modernización, tecnificación y profesionalización totalmente alejada ya de los antiguos estereotipos»."
#metaglossia note
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
Each page of the bilingual dictionary is packed with pictures and things to find and talk about.
Miles Kelly, a UK publishing house, has published a fun bilingual dictionary for kids.
The lovely, large, hardback book full of colourful pictures and descriptions makes learning Afrikaans and English tons of fun.
Children can explore their world with this fun dictionary and learn the names of various things around them.
Read: Browse local children's stories in all official languages
Each page of the bilingual dictionary is packed with pictures and things to find and talk about. It is full of colourful illustrations, which keep children engaged.
This bilingual dictionary was published in March 2022, and it is sold at R260,00 per copy. Find out more at NB Publishers.
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
Jeremy David Hanson has been arrested. His crime? He threatened to murder a dictionary.
According to the criminal complaint, between Oct. 2 and Oct. 8, 2021, Springfield-based Merriam-Webster, Inc. received various threatening messages and comments demonstrating bias against specific gender identities submitted through its website’s “Contact Us” page and in the comments section on its webpages that corresponded to the word entries for “Girl” and “Woman.” Authorities later identified the user as Hanson. As a result of the threats, Merriam-Webster closed its offices in Springfield and New York City for approximately five business days.
Specifically, it is alleged that on Oct. 2, 2021, Hanson used the handle “@anonYmous” to post the following comment on the dictionary’s website definition of “female”: “It is absolutely sickening that Merriam-Webster now tells blatant lies and promotes anti-science propaganda. There is no such thing as ‘gender identity.’ The imbecile who wrote this entry should be hunted down and shot.”
Hanson also allegedly sent the following threatening message via the website’s “Contact Us” page: “You [sic] headquarters should be shot up and bombed. It is sickening that you have caved to the cultural Marxist, anti-science tranny [sic] agenda and altered the definition of ‘female’ as part of the Left’s efforts to corrupt and degrade the English language and deny reality. You evil Marxists should all be killed. It would be poetic justice to have someone storm your offices and shoot up the place, leaving none of you commies alive.”
It is further alleged that on Oct. 8, 2021, Hanson posted another threatening comment on the dictionary’s website and a threatening message via the “Contact Us” page that threatened to “bomb your offices for lying and creating fake…”.
This is where gender-critical fanaticism takes you. They’ve convinced themselves that science is anti-science and reject the actual understanding of science to claim an authority they don’t have. There is most definitely such a thing as gender identity — I suspect that Hanson identifies very strongly as a man.
So now he wants to kill people because he thinks dictionary definitions are powerful and magical and that, rather than describing how people use words, they actually create the meaning. Somebody needs to explain that murdering dictionary writers won’t change the meaning of words. I don’t think the Merriam-Webster dictionary entry is particularly comprehensive or thorough, but I don’t think that bombing offices will affect how people understand “female”.
"According to the criminal complaint, between Oct. 2 and Oct. 8, 2021, Springfield-based Merriam-Webster, Inc. received various threatening messages and comments demonstrating bias against specific gender identities submitted through its website’s “Contact Us” page and in the comments section on its webpages that corresponded to the word entries for “Girl” and “Woman.” Authorities later identified the user as Hanson. As a result of the threats, Merriam-Webster closed its offices in Springfield and New York City for approximately five business days.
Specifically, it is alleged that on Oct. 2, 2021, Hanson used the handle “@anonYmous” to post the following comment on the dictionary’s website definition of “female”: “It is absolutely sickening that Merriam-Webster now tells blatant lies and promotes anti-science propaganda. There is no such thing as ‘gender identity.’ The imbecile who wrote this entry should be hunted down and shot.”
Hanson also allegedly sent the following threatening message via the website’s “Contact Us” page: “You [sic] headquarters should be shot up and bombed. It is sickening that you have caved to the cultural Marxist, anti-science tranny [sic] agenda and altered the definition of ‘female’ as part of the Left’s efforts to corrupt and degrade the English language and deny reality. You evil Marxists should all be killed. It would be poetic justice to have someone storm your offices and shoot up the place, leaving none of you commies alive.”"
#metaglossia note
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
A California man was arrested after making online threats against the dictionary publisher over their entries that defined women, investigators said.
The suspect also sent threats to other companies, investigators said.
The fight for gay rights in America
A California man was arrested this week for allegedly threating to bomb Merriam-Webster's offices and kill its employees over the dictionary publisher's definitions for women, federal prosecutors said.
Jeremy David Hanson, 34, of Rossmoor, California, was charged on April 20 with one count of interstate communication of threats to commit violence for alleged online threats that he sent to the company in October, according to the U.S. Attorney's Office for the District of Massachusetts.
Hanson allegedly sent the company several threatening messages through its "Contact us" section on its website and in the comments section on its webpages that corresponded to the word entries for “Girl” and “Woman.” Rachael Rollins, the U.S. Attorney for the District of Massachusetts, said. Rollins said the threats were serious enough to force Merriam-Webster to close its Springfield and New York offices out of an abundance of caution.
"We believe Hanson sent a multitude of anonymous threatening and despicable messages related to the LGBTQ community that were intended to evoke fear and division," she said in a statement.
Hanson allegedly used the handle “@anonYmous” to post the a message on Oct. 2 on the comment section of Merriam-Webster's webpage for the definition of the word female stating that "Merriam-Webster now tells blatant lies and promotes anti-science propaganda," according to the U.S. Attorney's office.
"There is no such thing as 'gender identity.' The imbecile who wrote this entry should be hunted down and shot," he allegedly wrote in the comment section.
Hanson also allegedly wrote a message on the "Contact us" page stating the company's headquarters should be "shot up and bombed," federal prosecutors said.
"It would be poetic justice to have someone storm your offices and shoot up the place, leaving none of you commies alive,” he allegedly wrote.
Hanson posted a similar message on the "Contact us" page on Oct. 8, according to the U.S. Attorney's office.
The suspect allegedly sent related threats to other companies, non-profits and individuals including the American Civil Liberties Union, Amnesty International, Land O’ Lakes, Hasbro, Inc., IGN Entertainment, the president of the University of North Texas, two professors at Loyola Marymount University and a New York City rabbi, according to prosecutors.
"Threats to life are most certainly not protected speech and they cause real fear in victims," Joseph R. Bonavolonta, the Special Agent in Charge of the FBI Boston Division, said in a statement.
Attorney information for Hanson wasn't immediately available.
He was released on conditions following a court appearance in the Central District of California, prosecutors said. He is scheduled to appear before U.S. District Court Magistrate Judge Katherine A. Robertson in federal court in Springfield on April 29, according to the U.S. Attorney's office.
A California man was arrested this week for allegedly threating to bomb Merriam-Webster's offices and kill its employees over the dictionary publisher's definitions for women, federal prosecutors said.
Jeremy David Hanson, 34, of Rossmoor, California, was charged on April 20 with one count of interstate communication of threats to commit violence for alleged online threats that he sent to the company in October, according to the U.S. Attorney's Office for the District of Massachusetts.
Hanson allegedly sent the company several threatening messages through its "Contact us" section on its website and in the comments section on its webpages that corresponded to the word entries for “Girl” and “Woman.” Rachael Rollins, the U.S. Attorney for the District of Massachusetts, said. Rollins said the threats were serious enough to force Merriam-Webster to close its Springfield and New York offices out of an abundance of caution.
"We believe Hanson sent a multitude of anonymous threatening and despicable messages related to the LGBTQ community that were intended to evoke fear and division," she said in a statement.
"A California man was arrested this week for allegedly threating to bomb Merriam-Webster's offices and kill its employees over the dictionary publisher's definitions for women, federal prosecutors said.
Jeremy David Hanson, 34, of Rossmoor, California, was charged on April 20 with one count of interstate communication of threats to commit violence for alleged online threats that he sent to the company in October, according to the U.S. Attorney's Office for the District of Massachusetts.
Hanson allegedly sent the company several threatening messages through its "Contact us" section on its website and in the comments section on its webpages that corresponded to the word entries for “Girl” and “Woman.” Rachael Rollins, the U.S. Attorney for the District of Massachusetts, said. Rollins said the threats were serious enough to force Merriam-Webster to close its Springfield and New York offices out of an abundance of caution.
"We believe Hanson sent a multitude of anonymous threatening and despicable messages related to the LGBTQ community that were intended to evoke fear and division," she said in a statement."
#metaglossia note
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
Le 20/04/2022 à 23h27
par Inès DenneCrédits photos : Capture d'écran France 2Ce mercredi 20 avril, Emmanuel Macron et Marine Le Pen se sont affrontés lors d'un débat très attendu par les Français, sur de nombreux sujets brûlants. Comme il y a cinq ans, le président sortant a usé d'un vocabulaire parfois très étrange, qui a particulièrement amusé les internautes.
Emmanuel Macron et Marine Le Pen étaient attendus au tournant ce mercredi 20 avril, pour le débat d'entre-deux-tours pendant lequel ils ont confrontés leurs idées et leurs programmes pour les Français. Un rendez-vous préparé minutieusement par les deux candidats mais également par les deux journalistes choisis pour arbitrer le débat, à savoir Léa Salamé et Gilles Bouleau. Invitée dans l'Instant M, émission diffusée sur France Inter, la journaliste préférée à Anne-Sophie Lapix avait expliqué que leur rôle serait totalement différents des débats précédents, une volonté de laisser les journalistes en retrait de ce moment capital pour les Français.
Le débat a finalement commencé par un léger couac, Marine Le Pen pensant qu'elle avait la parole alors que le générique avait été lancé. Postés devant leurs écrans, les internautes se sont notamment délectés de la posture d'Emmanuel Macron, qui fixait son adversaire de manière très intense. Twitter s'est même invité dans le débat de manière surprenante, puisque Marine Le Pen avait rapporté un tweet imprimé, qui a beaucoup amusé les internautes.
Il y a cinq ans, lors du débat d'entre-deux-tours qui opposait les deux mêmes candidats, Emmanuel Macron avait utilisé l'expression "poudre de perlimpinpin", qui l'avait suivi pendant tout son mandat. Une nouvelle fois face à la présidente du Rassemblement national, le chef d'Etat a usé d'un langage très surprenant. D'abord, il a utilisé le mot "ripoliner", ce qui a provoqué de nombreuses recherches. Puis il a employé le terme "finito", très connu sur la Toile. Enfin, le président-candidat a fait référence à Gérard Majax.
Un langage qui n'a pas échappé aux internautes, certains se demandant comment les interprètes du langage des signes allaient retranscrire ses propos. "J'ai beaucoup de respect pour le traducteur en langue des signes qui n'a pas bronché quand il a entendu 'ripoliner la façade", "Vraie interrogation sur la traduction de Gérard Majax en langage des signes", "Ripoliner la façade' is the new 'poudre de perlimpinpin", pouvait-on notamment lire dans les commentaires. Un vocabulaire qui restera une nouvelle fois dans les annales.
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
Las palabras homógrafas son aquellas que se escriben y se pronuncian igual aunque sus significados son diferentes. Por ejemplo, la lengua puede referirse a un idioma o al órgano bucal.
Existen dos tipos de palabras homónimas: las homógrafas, con distinto significado pero igual escritura y pronunciación; y las homófonas, con igual pronunciación, pero distinta escritura. Además, no hay que confundir las palabras homógrafas de las polisémicas: aquellas que tienen varios significados y una sola entrada en el diccionario. Estos recursos ayudarán a trabajar las palabras homógrafas en clase.
Índice de contenido [mostrar]
En menos de seis minutos, el vídeo enseña qué son las palabras homógrafas y homófonas mediante ejemplos. Anima a los menores a participar en un juego: se muestran dos imágenes y deben adivinar si las palabras son de un tipo u otro. Por último, se realiza un pequeño resumen de lo aprendido.
Presenta una lista de diez palabras con las que construir dos oraciones distintas, fomentando así el aprendizaje práctico. Por ejemplo, los estudiantes deberán inventar una frase con ‘pegar’ cuando significa ‘pegamento’ y otra cuando significa ‘golpear’.
El objetivo es ayudar a los menores a distinguir los dos significados de una palabra homógrafa. Para ello, deben marcar los datos incorrectos y escribir frases diferentes con la palabra ofrecida en cada una de las tres fichas que contiene la web. También dispone de hojas imprimibles con el mismo tipo de ejercicios pero con palabras homófonas.
Después de explicar la teoría sobre las palabras homógrafas, homónimas y parónimas, aquellas son muy similares en su sonido o significado aunque no iguales, propone tres ejercicios para cada tipo. El de las homógrafas consiste en relacionar las frases equivalentes en significado a las propuestas. Por ejemplo: “Es un modelo para sus hijos” y “el modelo que contraté no resultó lo que esperaba” con “su modélica forma de ser lo ha llevado al éxito” o “no hay mejor modelo de virtud”.
Plantea retos y preguntas basadas en las palabras homógrafas y homófonas que el usuario tiene que responder en un minuto. Un ejercicio perfecto para aprender a distinguirlas mediante enunciados que hay que completar como: “Hay que montar la … del coche”, eligiendo la palabra vaca o baca. Si el alumno falla, la pantalla vuelve a aparecer hasta que acierte y, al final del juego, se muestran los puntos obtenidos y el tiempo invertido
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
DÉCRYPTAGE - Que ce soit pour écrire un mail, une déclaration d’amour, une dissertation, voici les secrets de Bruno Dewaele au Figaro pour une maîtrise irréprochable du français.
Écrit-on «pallier quelque chose» ou «pallier à»? Quelle est la différence entre «sensé» et «censé»? Met-on un «s» au nombre «quatre-vingts» ? La langue française compte également d’innombrables règles à respecter pour avoir une orthographe irréprochable. Cependant, comment s’y retrouver quand les exceptions sont si nombreuses? Nous avons interrogé Bruno Dewaele, qui a remporté le titre de champion du monde d’orthographe en 1992 à New York, seul concours de ce type ayant rassemblé 112 pays dans la salle de l’Assemblée générale de l’ONU. Il livre ses conseils au Figaro pour devenir un maître de la langue française.
À LIRE AUSSI«À tout bout de champ(s)»: ne faites plus la faute!
1. Ayez confiance en vos capacités
Avant tout, pour avoir une bonne orthographe, il s’agit «d’y croire», commence Bruno Dewaele. Et «d’éviter par-dessus tout les excuses faciles du genre: “J’ai toujours été nul!”». L’orthographe est une matière dans laquelle il est toujours possible de progresser. «J’ai connu des étudiantes qui, au concours d’entrée en école d’orthophonie, passaient de 0/20 à 16 l’année suivante…
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
Nature of healthcare team terminology, ramifications of conceptual confusion and proposing standardized terminology with synthesized definitions
Authors Martin AK , Green TL , McCarthy AL , Sowa PM , Laakso EL
Received 6 December 2021
Accepted for publication 11 March 2022
Published 8 April 2022 Volume 2022:15 Pages 765—772
DOI https://doi.org/10.2147/JMDH.S342197
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Scott Fraser
Aleysha K Martin,1 Theresa L Green,2 Alexandra L McCarthy,3 P Marcin Sowa,4 E-Liisa Laakso5,6
1Faculty of Medicine, Mater Research Institute – The University of Queensland, Brisbane, QLD, Australia; 2School of Nursing, Midwifery and Social Work, The University of Queensland – MNHHS Surgical Treatment and Rehabilitation Service, Brisbane, QLD, Australia; 3School of Nursing, Midwifery and Social Work, Mater Research Institute – The University of Queensland, Brisbane, QLD, Australia; 4Centre for the Business and Economics of Health, The University of Queensland, Brisbane, QLD, Australia; 5Allied Health, Mater Research Institute – The University of Queensland, Brisbane, QLD, Australia; 6Menzies Health Institute Queensland, Gold Coast, Australia
Correspondence: Aleysha K Martin, Faculty of Medicine, Mater Research Institute – The University of Queensland, Level 2 Aubigny Place, Raymond Terrace, South Brisbane, QLD, 4101, Australia, Tel +61 457 993 248 ; +61 7 3163 2550, Email aleysha.martin@uq.net.au
Abstract: One strategy to meet increasing consumer demand for healthcare services in the pandemic era has been to reorganize the healthcare workforce. This can be achieved by reorganizing healthcare teams, which are associated with improved workforce productivity and better patient outcomes. However, healthcare teams are described using numerous terminologies and labels, which has led to conceptual confusion for researchers and research users. In this paper, we explore the disparate nature of healthcare team terminology, ramifications of conceptual confusion, and we propose standardized terminology with synthesized definitions focused on characteristics of clinically based healthcare teams including unidisciplinary, multidisciplinary, interprofessional, and transdisciplinary teams.
Keywords: teamwork, unidisciplinary, multidisciplinary, interprofessional, transdisciplinary
Many types of healthcare teams are described in the literature. Healthcare teams comprise professionals from various disciplines who enter a collaborative relationship with the patient to deliver coordinated, high-value, and patient-centered healthcare.1,2 Team-based care is well researched and associated with numerous benefits including improved patient outcomes and satisfaction, efficient use of staff time, improved staff satisfaction, and decreased monetary expenditure.3–7 At a time where healthcare services are increasingly in demand and the healthcare workforce is under pressure from current and expected pandemics, team-based care is more important than ever.3,8 As healthcare workers are experiencing increased staff absences due to infection rates, redeployment, and burnout,9,10 healthcare teams need to reflect on team processes, team member roles and scopes of practice, and adapt to new demands. However, healthcare team definitions are ambiguous, terminology is used interchangeably, and this has ramifications for healthcare teams and researchers.1,4,5,7,11,12 The disparate nature of terminology in this field was observed by the authors when conducting a scoping review on transdisciplinary teams, and one recommendation for research was to review healthcare team terminologies.13 Standardized definitions related to interprofessional education, learning, and practice were recently published in the Proposed Lexicon for the Interprofessional Field.14 In this perspectives paper, we aim to explore ramifications of conceptual confusion, extend on the aforementioned Lexicon and, based on our knowledge of the literature and our clinical experience, we propose standard terminology and characteristics of clinically based healthcare teams. By doing so, we aim to provide greater clarity when a healthcare team seeks to modify its structure and purpose.
The conceptual confusion surrounding healthcare team terminology is due to inconsistent definitions, misuse of terms, and interchangeable use of similar terms such as multidisciplinary and multiagency, or transdisciplinary, transprofessional and supra-disciplinary. In the literature the term “multidisciplinary” is often used interchangeably with “interdisciplinary”,7 and “transdisciplinary” is often mislabeled as “interdisciplinary”.12 In clinical settings, “multidisciplinary” is frequently used instead of “interprofessional”.14 For example, a definition provided by the Department of Health on “multidisciplinary case conferences” describes characteristics that are more aligned with an interprofessional team, such as communication that occurs between a minimum of three care providers and the patient to ensure care needs are met.15 It is important to explore the impact interchangeable terminology and inconsistent definitions might have for those tasked with knowledge generation (researchers) and knowledge translation (healthcare professionals).
In research, we suggest that healthcare teams have been labelled according to the author’s understanding of the evidence and definitions, local use of terminology, and ultimately, the author’s subjective choice. Labelling healthcare teams in this idiosyncratic way has compromised effectiveness of search strategies and identification of evidence.4 The result is that researchers must dedicate a significant amount of time to search databases and construct complex search strategies that still might miss relevant or key papers. Conceptual confusion is also a barrier to the translation of knowledge into clinical practice. Healthcare professionals who are unable to decipher exactly what type of healthcare team is the most valuable for their local setting might not initiate change, resulting in missed opportunities for improving workforce organization.
There are also consequences for partnerships between researchers and healthcare professionals. Such partnerships, often referred to as research co-production, allow researchers and research users to collaborate throughout the research and health service improvement processes to identify consumer needs, develop research questions, design interventions, and interpret findings.16 Research co-production in the field of team-based care becomes challenging when researchers and healthcare professionals understand and use terminology inconsistently. In research co-production, we suggest the inconsistent use of terminology could lead to misunderstandings between stakeholders, reluctance to collaborate, disagreements, and unsuccessful clinical research, translation, and implementation. We contend that the first step to addressing the conceptual confusion is synthesized and standardized definitions of healthcare teams.
Numerous terminologies are used to label healthcare teams. The terms observed most frequently include unidisciplinary, uniprofessional, intradisciplinary, intraprofessional, multidisciplinary, multiagency, interdisciplinary, interprofessional, interprofessional collaboration, cross-disciplinary, transdisciplinary, transprofessional, and supra-disciplinary (Table 1).1,2,6,7,11,12,17–26 These terms are used interchangeably and defined inconsistently throughout the literature. Notably, the suffixes “discipline” and “profession” are also used interchangeably despite distinct definitions where “discipline” refers to a body of scientific knowledge, and “profession” is defined as an occupation in which qualified professionals are committed to a shared vision.1
Table 1 Summary of Terminology and Sources
Table 2 Key Characteristics of Healthcare Teams
The terms unidisciplinary and uniprofessional are used interchangeably and are generally defined as a single discipline provider of their services within a defined scope of practice.12,14,17,27 One author extends on this definition and suggests that unidisciplinary care might also involve consultation with other professionals on an already established plan.17 The latter characteristic aligns with intradisciplinary or intraprofessional teams, which involve professionals interacting within their own discipline.14,25
Multidisciplinary teams (MDTs), also referred to as multiagency teams,17 are described as having varying levels of communication. Many authors agree that MDTs frequently communicate via the physician (or the highest ranking professional), meaning that formal team meetings are not required, and other team members work in parallel or sequentially and therefore may not communicate between themselves at all.6,7,12,14,20 Conversely, some authors suggest that all MDT members collaborate, share information and skills, and develop shared patient-centered goals.19,21,22 The latter description aligns more closely with interdisciplinary teams and interprofessional teams. The composition of MDTs is described more consistently in the literature as a team of professionals from multiple disciplines, who bring a unique discipline perspective but function independently from one another.1,6,12,17,18,20,22 Many authors suggest that patient assessment, goals, and treatment are discipline-specific which, due to differing discipline perspectives represented within the team, could lead to contradictory expectations of clinician-directed goals and treatments.6,7,18
Interdisciplinary teams (IDTs) and interprofessional teams (IPTs) are considered as an extension to MDTs.1 While the terminology of IDT and IPT is often used interchangeably,23,28 Parse stated that IDTs align the resources of two or more disciplines to establish combined educational courses or projects, whereas IPTs involve professionals who combine their unique disciplinary knowledge to provide healthcare services.24
Interprofessional collaboration (IPC) is another frequently used term. Some authors use IPC synonymously with IPTs and team-based care,1,2 while others acknowledge IPC as the outcome of IPTs.26 IPC is also frequently described as having the same composition and characteristics of IDTs and IPTs, where health professionals from multiple disciplines work with patients, communicate regularly, and share goals and decision-making to deliver high-quality patient care.1–3,26
When comparing definitions, cross-disciplinary teams (CDTs) could be considered a fourth interchangeable term. CDTs are defined as teams of professionals who collaborate and have an advanced understanding of other members’ roles but maintain discipline boundaries.25 This definition matches some of the characteristics associated with IDTs and IPTs, which are frequently described to include members with different professional perspectives who work in a patient-centered, interdependent, and collaborative manner to share knowledge and decision-making, develop shared plans, and achieve common goals.6,7,12,18,20–22,28 Importantly, patient-centered care occurs when healthcare professional/s partner with the patient (or their representative) and integrate patient preferences, needs, experiences, and goals into every phase of care.29 At the extreme end of patient centered care, a patient (or their representative) could be considered as an equal team member.
For IDTs and IPTs, many authors also highlight the importance of frequent communication, formal meetings, and equality of members (including the patient or their representative).1,6,7,18,20,22,23 Descriptions regarding leadership and discipline boundaries vary between sources. While one author described shared leadership among members,23 other authors suggest IDTs and IPTs require a designated leader (who can be from any profession).7,20 In terms of discipline boundaries, some authors posit that while members have a shared understanding and acceptance of overlap inherent in their disciplines, they maintain discipline-specific roles, skills, and competencies.12,20 Yet other authors either do not acknowledge overlap in discipline boundaries,7 or have stated that IDTs and IPTs are based on discipline overlap, shared skills, and blurred roles.18,21 Blurred roles and discipline boundaries appear to be a characteristic that is more strongly associated with transdisciplinary teams.
Transdisciplinary teams (TDTs), synonymous with transprofessional or supra-disciplinary teams,12,22 are consistently described as skill-sharing or multi-skilling models where professionals from multiple disciplines blur and transcend traditional professional boundaries by exchanging knowledge and skills, blending perspectives, sharing decision-making, and integrating elements of assessment, treatment, and goal setting.6,7,11,12,17,18,22,25 Blurred professional boundaries means that team roles are re-designed, cross-training is required, and one health professional can take on the traditional role of another health professional by agreement.12,14,17,20 TDTs describe a streamlined approach to healthcare delivery, rather than replacement of professionals and their expertise. Commonly cited characteristics of TDTs include fluid role boundaries, mutual learning, communication, collaboration, trust, patient-centered care (where the patient or representative can be considered an equal member), integrated care, shared responsibility for care, and in-depth understanding of and respect for each member’s knowledge and expertise.6,7,11,12,18 However, agreement within the literature regarding training and leadership in TDTs is not as unified with few authors indicating that training staff across numerous skills is essential for TDTs,12,20 and that a leader should be appointed to oversee team discussion and care.7,25
Recently, a group of authors have published standardized definitions in a Proposed Lexicon for the Interprofessional Field.14 The definitions are focused on interprofessional practice and education, rather than healthcare teams working in clinical settings. Another author recommends that healthcare teams should be described every time, as a consensus on standardized definitions has not been established.28 While we acknowledge that there will be multiple opinions regarding preferred terms and defining characteristics, it is timely that standardized terms and definitions for healthcare teams are proposed for broader discussion (Table 2). Based on our knowledge of the literature and lived experience with clinical teams, the authors propose definitions for unidisciplinary, multidisciplinary, interprofessional, and transdisciplinary teams. We also recognize that healthcare teams are dynamic and propose a new term, hybrid teams. We have provided a case example that demonstrates the application of each type of healthcare team in the same clinical environment, in this instance the Emergency Department (Table 3).
Table 3 Clinical Examples of Healthcare Teams
As the term observed most frequently in our literature search, unidisciplinary is the preferred option and encompasses alternative terms including uniprofessional, intradisciplinary, and intraprofessional. Unidisciplinary care occurs when a single professional provides healthcare only within their scope of practice. While the single professional is responsible for all aspects of patient care, consultation with other professionals might occur.
Multidisciplinary teams comprise professionals from multiple disciplines who work independently and complete discipline-specific assessments and treatments to achieve discipline-specific and clinician-directed patient goals (that might or might not complement the work of other professionals). Each member contributes their unique discipline perspective, and all communication occurs through the highest-ranking member (usually the physician) who directs patient care. The alternate term, multiagency, should be referred to only when different healthcare professionals from different organizations come together to provide care.
While the term interdisciplinary appears frequently in the literature, we suggest that interprofessional is the preferred contemporary term. Alternative terms include interprofessional collaboration and cross-disciplinary. Interprofessional teams are gaining traction alongside the trend towards interprofessional education in the education sector. Interprofessional teams consist of professionals from multiple disciplines who hold equal status (which can include the patient or their representative) and work in an interdependent, patient-centered manner. In these teams, a leader oversees care and the health professionals complete discipline-specific assessments and treatments. Members have an advanced understanding of each other’s roles and expertise, communicate frequently, share decision-making, and collaborate to establish coordinated plans and patient treatment goals. Interprofessional collaboration should be referred to as the output of interprofessional teams.
As the term observed most frequently in literature, transdisciplinary is the preferred option, and encompasses alternative terms including transprofessional and supra-professional. Transdisciplinary teams require professionals from multiple disciplines to work beyond traditional professional boundaries (ie, complete tasks that might usually be completed by another professional), redesign roles, blend perspectives, exchange knowledge and skills, and integrate elements of assessment and treatment into one unified and patient-centered plan. In these teams, professionals hold equal status (which can include the patient or their representative), understand and respect other member’s roles, communicate frequently, trust other members, and engage in mutual learning and/or formal training. While members share responsibility, there may also be a designated leader to oversee patient care.
The four definitions for unidisciplinary, multidisciplinary, interprofessional, and transdisciplinary teams are not intended to limit healthcare teams or provide rigid boundaries. Instead, we propose the term “hybrid teams” to describe teams that are dynamic and take on characteristics of different types of healthcare teams at different phases of healthcare provision (or at any one time).
Firstly, a hybrid team could move fluidly between the definitions, to suit local circumstances and different phases of healthcare delivery. For example, an acute stroke team might operate as a transdisciplinary team during the assessment phase, where a single clinician is available to assess neurological changes. Then during the rehabilitation phase, this healthcare team could transition to an interprofessional team, where multiple members collaborate with the patient to set a common goal (eg, return to oil painting) and commence discipline-specific treatments to meet this goal. Secondly, a hybrid team could blend characteristics of two or more definitions. For example, staff responding to a cardiopulmonary arrest code on a medical ward could communicate like a multidisciplinary team (communication occurs through the highest ranked staff member), while collaborating and sharing roles like a transdisciplinary team (any nurse, doctor, or allied health professional could be responsible for chest compressions, maintaining the patient airway, or operating the automated external defibrator).
Standardized terminology and definitions are the first step to addressing conceptual confusion in the field of healthcare teams. The standardized terminology and definitions proposed in this paper aim to establish common ground on which stakeholders (such as researchers and healthcare professionals) can understand one another, communicate effectively, successfully engage in research co-production and health service innovation, and contribute to knowledge generation and clinical translation. Ultimately, this should build the evidence base and support clinical implementation of healthcare teams across healthcare settings. To achieve these aims, the proposed terminology, definitions, and characteristics need to be adopted by all stakeholders. Such redesign could become more exigent as health worker numbers are affected by the current and expected pandemics. While disseminating the proposed standardized definitions is the first step, further work in this field is required. We suggest that the next steps are to 1) methodically review the healthcare team literature to build consensus, and 2) identify strategies that will support uptake of the standardized terms and definitions. Both suggestions are imperative to improve the research co-production, clinical implementation, and reporting of healthcare teams.
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
April 8, 2022 • By Tom Dalzell
Strange to Say: Etymology as Serious Entertainment
DEBORAH WARREN
THE FIELD ON which Deborah Warren labors, etymology, is a well-worked one. Many have contributed to our body of knowledge, including my scholastic/publishing ancestor Eric Partridge with his Origins: A Short Etymological Dictionary of Modern English (1958). Most of those who have chased the elusive goddess etymology have fallen into one or both of two traps. Often, they assign a certainty to an etymology that is unwarranted at best, mistaken at worst. It is not as if a word or phrase upon entering the language does so with a registered pedigree; most often, we don’t know where a new word or phrase that we are using comes from — and we don’t care. The second common trap is a slavish adherence to categories and rules. If we are talking about words or phrases involving animals, God forbid we stray for a moment to ponder a strikingly similar — but non-animal — phrase or term.
On both these issues, Warren avoids the common pitfalls. Yes, her 34 relatively short chapters are loosely based on thematic categories, but the categories are not rigid and her adherence to them is not absolute. The reins are laid on loose, and we’re treated to an occasional self-scold, such as, “But we’ve gotten far afield. The topic was horses.” In Chapter 9, Warren tells the reader that she’s pulling off a “sub-detour,” another gently humorous self-poke. In reality, Warren is on a journey that embraces tangents and digressions as strengths, not weaknesses. The meandering evolution of a chapter is possible to chart, of course, and such an exercise will highlight Warren’s agility. To make an esoteric comparison, the charting of a Warren chapter would resemble nothing so much as a Grateful Dead set list — the transitions are dazzling but not intuitively obvious.
As for the certainty with which etymologies are presented, Warren errs on the side of caution. She presents her etymologies as conclusions, uncluttered by detailed explanations and word-sleuthing. Once I deduced Warren’s approach, I pulled down every etymology book in my slang library in an attempt to find an error in her work — just one would do. I failed. While the absence of proof at times leaves the reader a tad hungry, it’s better than wandering through a minefield of errors. Best to sidestep the holy wars that can and do ensue when lexicographers focus on precise etymologies. Great lexicographers have found etymology to be the Khyber Pass where empires go to die. Take a look at the dozen-plus “convincing” etymologies for the word “cop” and you will understand the point I’m making.
Unlike Eric Partridge, Deborah Warren has not spent her life in the stacks of the British Library, emphasis on dictionaries. She is a poet, and most of her published work is poetry. She brings a poet’s ear and eye to Strange to Say, finding joy in the words as much as in their pedigrees. There is an artistry present in Strange to Say that I have rarely encountered in word books. Lewis Poteet’s look at the slang of ice hockey, Paul Dickson’s work on baseball etymologies, and Leo Rosten’s exploration of Yiddish can hold a candle to Warren’s book, but few others come to mind. Warren values every facet of a word — its sound, its etymology, its meaning, and its ability to evoke. Warren is the polar opposite of a Scrabble player, to whom a word’s meaning is meaningless, and often unknown. For Warren, the meaning is critically important. She doesn’t confine her explanations to semantics, freely venturing into underlying subject matters. For example, when she writes of “devil’s advocate,” she visits historical theology, teaching us that the term originally applied to the church lawyer tasked with challenging candidates for sainthood, most often by debunking claimed miracles. Her exploration of “teddy bear” gives her the chance to dabble in Theodore Roosevelt’s language-coining, and then bounce between “teddy” and “bear.”
Deborah Warren brings joy and pleasure to etymology. Every explanation rings with pride and joy, and with a proud use of language, such as in her observation that the sense of “whole cloth” is “original to the point of being a lie” — wonderful. Warren’s subtitle is “Etymology as Serious Entertainment.” She hits the mark with both adjective and noun. My entire slang library, including the shelves of works on etymology, are now being cataloged for the University of Indiana. I might have thought that my etymology section was robust enough and needed no newcomers, but I would have been wrong. I am sending my review copy of Strange to Say to Indiana. It is a strong piece of work on etymologies — a brilliant, holistic approach by a most gifted amateur.
¤
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
A new glossary of British Sign Language (BSL) signs specifically for skills and jobs in digital technology has been created.
Michael Behr
29 March 2022, 11.02am
A new glossary of British Sign Language (BSL) signs specifically for skills and jobs in digital technology has been created.
Over 500 words and terms have been invented covering computer science, cybersecurity, data science and software development to help the deaf community access qualifications and careers in one of the fastest-growing sectors in the country.
The programme was created as part of a partnership between Skills Development Scotland (SDS), Data Education in Schools, the DDI Skills Gateway and the Scottish Sensory Centre (SSC).
A team of eight deaf people from across the UK, who are also tech experts, spent eight months with sign linguists developing and testing the new signs.
Ben Fletcher, Principal Engineer with the Financial Times, was one of the team member’s that was keen to create a common language for deaf people in tech.
He said: “Throughout my whole life, I have studied and worked in computing, but tech and BSL have often been a difficult combination. There’s a huge list of computing terms, very few of which have dedicated and widely recognised signs, and others I just had to make up. It was very frustrating.
“We now have a standard glossary that will really help deaf people in schools, colleges, universities and workplaces across the UK.”
Before this glossary was launched, deaf people often had to spell out each individual letter of the specialised terms used in the digital space. These new signs make it easier and more efficient to communicate about digital skills and jobs.
Popular tech words and phrases now covered include artificial intelligence, computer science, cybersecurity, ethical hacking, firewall, data breach, data science, machine learning and phishing.
Edinburgh school pupil Billy-Jack Gerrard is deaf and is wanting to pursue AI and computer science at university. He claims the new BSL signs will be life-changing for people like him.
“These signs will make a huge difference in terms of both studying for the right skills for a job in tech, and then also for actually working in the sector itself.
“Once embedded into the fabric of BSL, the consistent use of the terms will make life so much easier, and in turn far more inclusive, for deaf people like me wanting to pursue a digital career.”
Head of Digital Technologies and Financial Service at SDS Phil Ford added: “This is a brilliant project that we supported without hesitation.
“It will help deaf people get jobs in tech while also enhancing diversity and inclusivity in the sector, all with the ultimate aim of plugging the skills gap of an industry which is vital for Scotland’s economy.”
The full list of signs can be found on the SSC website, but Kate Farrell of Data Education in Schools says she is keen to keep adding to the list.
She commented: “Like the technology itself, which is constantly changing, the accompanying language also has to be updated. So by its very nature, this BSL glossary will have to do the same.
“We therefore welcome the continued input from technologists, deaf or otherwise, to ensure that we stay up to date with the terminology around skills and jobs in tech.”
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
Weighty words are tossed about these days like confetti, with no understanding of what they mean or where they come from. Among them are gestapo, gazpacho, liberal, conservative, populist and fascist. Let’s start with fascist.
By Robert Kahn
Deputy editor emeritus, Courthouse News
Polonius: What do you read, my Lord?
Hamlet: Words, words, words.
As editorialists are bound to do, by habit or word count, I consulted my Compact Edition of the Oxford English Dictionary (1971 edition: 4,116 pages, 16 lbs.) and found no listing for fascist.
What? In the O.E.D.? Say it ain’t so!
It ain’t. I found the word in the Supplement, on page 3,962. “Fascist: One of a body of Italian nationalists, which was organized in March 1919 to oppose Bolshevism in Italy, and, as the partito nazionale fascista, under the leadership of Signor Mussolini assumed control of the Italian government in October 1922; transf. applied to similar organizations in other countries.”
(For the record: Signor Mussolini? Really? In 1971?)
So, as editorialists are wont to do, by habit or deadline, I went to the O.E.D. online, where I found: “fascism. n. 1. an authoritarian and nationalistic right-wing system of government and social organization. 2 (in general use) extreme right-wing, authoritarian, or intolerant views or practice.”
I don’t know about you, but I am hesitant to challenge the authority of the Oxford English Dictionary (20 volumes, with 291,500 entries in 21,730 pages). So let’s assume that the O.E.D., as usual, is correct. But let me add that fascists tend to be racist, and prejudiced against all sorts of people for all kinds of reasons.
These days, if, god forbid, I were a pundit for Fox News (in general use: Faux News), I would ejaculate (“1. To dart or shoot forth; to throw out suddenly and swiftly, eject … 2. To utter suddenly (a short prayer), now in wider sense; any brief expression of emotion)” — as I was saying — were I a right-wing pundit (“1. one versed in Sanskrit”) I would ejaculate: “Fake news! The Oxford English Dictionary is selling fake news! We all know the chief dangers to the world come from Communism, in all its forms!” (On this more soon.)
Although, were I (subjunctive mood: assuming against reality) a pundit for Faux News, I surely would not mention the Oxford English Dictionary at all (“elitist left-wing professors who speak in foreign tongues!”), but would just ejaculate (“suddenly and swiftly … any brief expression of emotion”) that it’s so unfair to call elite right-wing jillionaires such as Tucker Carlson, Kevin McCarthy, Mitch McConnell, Josh Hawley, Donnie Schrumpf, et al. fascists, but not use the word to describe Vladimir Putin.
Fair point.
After all, Putin is a fascist. He’s certainly not a communist.
Faux News question: So, you’re telling us, Bob, that Putin is a right-wing fascist, not a left-wing Marxist dictator.
Bob: That’s correct.
(For the record: Vlad the Impaler, Vlad Dracula (1431-1477), was a bad man. Can we agree on that? Vlad II (Vladimir Putin, 1952-??) also is a bad man, and a fascist: tossing around the word “Nazis” at Jews: How tasteless can a man get?)
So with all Vlad II’s blather about Ukraine being under the iron grip of a neo-Nazi Jewish president (vide: non sequitur), why have newspapers and other media around the world refrained from calling Putin a fascist? Isn’t he doing what Hitler did?
Fascism of the Left used to be called Communism while I was growing up, during the Cold War. But Stalin and his spawn were not Communists: they were Fascists.
So too, despite the horror Americans are supposed to feel at the word “communist,” Putin and Xi Jinping are not Communists: They are fascists.
So too, despite the modern Republican Party’s bogus horror at anything supposedly “liberal” (such as teaching U.S. history in public schools) the danger to our republic today, at home as well as from overseas, comes not from communists or liberals — it comes from fascists: “extreme right-wing, authoritarian, or intolerant views or practice.”
And racist? Consider the Republicans on the Senate Judiciary Committee dialing for dollars this week, trying but failing to crucify Judge Ketanji Brown Jackson.
Well, white guys and gals: No one could say that you didn’t give it the old college try.
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
When you move across the Atlantic armed with only one year of self-taught Portuguese and a joie de vivre that’s been chewed up and spit out by two years of a pandemic, things in your day-to-day life can start to feel a little … desperate. One day you’re laughing at your own confusion and the next you’re, I don’t know, sobbing comically in a café bathroom because you ordered a latte and got bread instead.
Let’s face it—regardless of whether or not you’re feeling a little lost in Europe’s westernmost country, big wins are few and far between for any of us these days. In comes Wordle, a simple game with predictable rules, daily wins, a mediated dopamine rush, and a lighter reason to check in with your loved ones. And God was it a hit. Multicolored blocks peppered every corner of Twitter, and suddenly, for the briefest of moments, that hellscape of a website was awash with peace. Finally there was something that everyone could agree was good. And we all know how rare that is.
I searched, and there it was: Termo.
Wordle has taken the internet by storm, but the great thing about the internet is that it’s wider and deeper than the English-speaking world alone. Web developers all over the world have adapted the game to fit their own languages, with versions for everything from Arabic and Thai to Cymraeg and Gitksan.
For language learners, linguistic nerds, and polyglots everywhere, the emergence of multilingual Wordles is a delight. But it’s more than that—it’s useful. Ohioan Betsy Ramsey plays the English and Spanish versions. Alongside the free Spanish classes she takes online, she plays Wordle ES as a kind of supplemental “extra credit,” thinking of it as a chance to reinforce vocabulary and look up unfamiliar words. Clearly, she’s on the right track: Jamie Thomas, assistant professor of linguistics at Santa Monica College and a self-professed fan of word games, describes Wordle as a great “scaffold,” a tool that’s not-so-ideal for vocabulary acquisition but great for practicing words players already know.
Apart from the game aspect, Wordle’s efficacy lies in what it does to your brain. Thomas explains that playing Wordle activates “sight words”—as we predict words in real time, we connect probable letter sequences to the words that we already have in our vocabulary. Guessing more and more letters correctly elicits different combinations of possible five-letter words in each player’s mind, and each of these words is “linked in lexical retrieval.”
If you’ve ever learned a language past childhood, you’ll know that retrieval is a muscle. Flexing makes it stronger over time, and eventually, it gets strong enough to pull out the words you need, when you need them. If you’re not fluent in a language, retrieving words takes more effort—and, therefore, more conscious thought. Merel from the Netherlands, who requested her last name be withheld, is fluent in Dutch and English but is learning Italian and Spanish, and she plays Wordle in all four languages. “I find that I’m more diligent the less familiar I am with the language,” she says. “With Dutch and English I can always think of another word to try, but that isn’t necessarily the best strategy. I have a higher success rate with Italian and Spanish.”
It’s unsurprising that some languages work better than others when it comes to fitting Josh Wardle’s template. The five-letter structure of the original Wordle is an obvious limitation, because different languages have different vowel-consonant patterns. Take English versus Swahili, for example. “There are about seven patterns in English, including CVCC, as in ‘ramp’ and up to CCCVCCC, as in ‘strengths,’ ” Thomas explains, “while in Swahili, most words can be broken down into CV units, as in ‘maji (water),’ all the way up to ‘kujitambulisha (to introduce yourself).’ ”
Of course, more than anything else, there’s the obvious limitation of fluency. This means that at some point, if you’re not fluent in the language, you’re probably going to have to play with words you don’t know. To do this, knowing the linguistic limitations for each language you’re playing with is key. When we deconstruct words, we lean on the knowledge of typical syllable patterns of the given language. If you know what particular letter combinations your language does or doesn’t use, you end up with a pretty good foundation for making educated guesses.
That’s how I play. One of the more recent Termo words was sogro (father-in-law): I opened the game with saúde (health) to knock out some vowels and started my third guess with S and O squarely in the first two positions. I asked myself: What combination of letters and sounds would make a plausible Portuguese word?
Here, Word Reference (which accounts for semantics) and Google Translate (which accounts for conjugations) were my friends. With S and O squarely in the first two positions, I tried different combinations of the last three letters until I got some words. My guesses ended up being solto (loose), sorvo (sip), sofro (suffer), and sobro (cork).
POPULAR IN CULTUREI lost! But even losing is a win. Now I know how to say, o sogro sofre do sobro solto—the father-in-law suffers from the loose cork. (Is the father-in-law an alcoholic? Was it just a bad cork to begin with? Did the wine spoil? We’ll never know, but I sure do know how to say it.)
Learning words you didn’t know before reframes a loss into a success. And the flip side is true, too: You could feel bad about not knowing a certain word in the first place, but that word you pulled out of thin air could end up winning you the game. Low-stakes word games like these create a circumvented kind of confidence. If I win, I’m left saying, Huh. I know this language better than I thought I did.
When you’re learning a language, it’s really all about the little wins. On some days, that win will look like ordering breakfast without your voice shaking. On other days, it looks like having a conversation with an elderly Portuguese woman whose accent you barely understand, but you hold on, and maybe you finally—finally—use that one vocab word you’ve tried so hard to remember. But if nothing else, your daily win can be learning a new word or two with Wordle—and sometimes, that’s enough.
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
Did you know that Google Docs has a built-in dictionary that can help you find definitions, synonyms, the spelling of a word? Here's how to use it.
Have you ever been writing, only to discover you forgot the correct spelling of a word? Or, maybe you want to find a synonym to add some flair to a commonly used word. A dictionary tool can definitely help.
However, switching out of your document to perform a Google search or retrieve your dusty dictionary from the shelf can take your focus off your work. The built-in dictionary inside Google Docs helps keep you focused.
Google Docs comes standard with a ton of useful tools for document creation. For example, you can easily find images using the web search tool and even using drawing tools to spruce up your document.
However, the dictionary tool is one of our favorites. You can use it to look up definitions, find synonyms, figure out the spelling of a word, and more. Plus, the dictionary tool is super simple to use by following these steps:
If you want to dig deeper, go ahead and click on any of the hyperlinked words to see their definitions and details.
There you have it! It really is as simple as that.
Sometimes, creating high-quality work calls for much more than a simple dictionary tool. And if you need more help, Google Docs offers so many other tools and add-ons that you're sure to find what you're looking for.
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
RIYADH — The Saudi Data and Artificial Intelligence Authority (SDAIA), in cooperation with King Salman International Complex for the Arabic Language, has launched the largest dictionary of data and artificial intelligence, collecting the most important technical terms related to data and artificial intelligence, with short, accessible definitions in Arabic and English.
This initiative falls within the framework of SDAIA's efforts to enrich Arabic content, spread technical awareness, standardize scientific terminology and concepts, and facilitate access to information needed by researchers, specialists, media professionals, and others concerned with these fields, in a way consistent with the objectives of Saudi Vision 2030.
The glossary was prepared by specialized national staff in the Saudi Data and Artificial Intelligence Authority (SDAIA), reviewed and approved by a committee formed in cooperation with King Salman International Complex for the Arabic Language. Its membership also includes experts and consultants in the technical and linguistic field, as per a methodology consisting of four main stages: collecting terms and their definitions from 20 reliable sources, the translation of terms and their definitions in an accurate contextual manner, and technical review by experts and specialists in the data and artificial intelligence, and finally linguistic review by a team of linguists to ensure that terms and definitions are accurately reflected.
The importance of launching this dictionary comes in light of the increased interest in data science and artificial intelligence, and the expansion of the development of relevant applications in various health, educational, security, commercial, industrial, and other fields, since many of the technical terms and concepts in these areas are not scientifically and accurately defined, especially in Arabic content, in addition to the lack of specialized Arabic sources.
This dictionary will contribute to enriching the Arabic content of data and artificial intelligence, and spreading the culture of advanced technologies enabling digital transformation, which will be under continuous revision to keep pace with technical developments, to be a main permanent reference for specialists and those interested in these areas at the local and global levels.
The dictionary can be viewed and downloaded via the following link: https://sdaia.gov.sa/files/Data_and_AI_Glossary.pdf — SPA
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
The SARS Multilingual Terminology list translates terminology in all of South Africa's spoken languages, excluding English.
The SARS Multilingual Terminology list translates terminology in all of South Africa's spoken languages, excluding English.
SARS Commissioner Edward Kieswetter said the volume contains at least 450 financial terms covering topics such as tax, wills and general financial business.
"Communicating with taxpayers and traders in their own language…helps to provide greater clarity and certainty of [SARS'] strategic objective in a manner that is understandable and makes it easier for taxpayers and traders to comply with their obligations.
"It is…our mission to demystify tax and to make it easier for millions of honest tax payers to meet their obligations. Communicating with taxpayers in a language of their choice is a huge part of this ethos and our ultimate goal," Kieswetter said.
The tax boss said the development of the volume is rooted in the revenue service's obligation to serve South Africans in a language they understand.
He added that the move is also driven to promote the diverse languages present in South Africa.
"The nature of tax and the fact that most South Africans from all walks of life are affected by SARS, it was a natural step for us to embrace the use of the Official Languages Act which – at its heart – seeks to ensure that government communicates with citizens in a language, tone and manner that is professional and familiar to them.
"SARS is an organisation that is committed to promoting diversity, equality and fairness among employees and the society in which we operate. In that sense, the multilingual terms list is evidence of SARS' commitment to these values. A commitment to the principles on which our democracy is being established," he said.
Kieswetter reflected on the history of languages in the country – highlighting that some languages were used as a means of oppression and received preference over others.
"Language has been one of those instruments that has caused so much division, eroded significant quality of life [and] denied us of our rightful place in the country of our birth. Some languages are on the verge of extinction because its speakers were decimated or assimilated into other cultures.
"Since 1994, government has been addressing this issue because language can build bridges between individuals, communities and in our case, build trust and improve our service to taxpayers," he said.
(With Inputs from South African Government Press Release)
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
These glossaries are to provide permitted testing accommodations of ELL/MLL students. They should also be used for instruction during the school year.
These glossaries are to provide permitted testing accommodations of ELL/MLL students. They should also be used for instruction during the school year. These glossaries may be downloaded, printed and disseminated to educators, parents and ELLs/MLLs.
Bilingual glossaries are an essential and expected test accommodation for ELLs/MLLs in the State of New York. The languages of these glossaries cover the top 10 languages at the state level, with new languages added based on changing language populations in the NY State student demographic data.
Schools should provide testing accommodations to ELLs/MLLs, as needed, on all NYS ELA and content-area assessments (i.e., Mathematics, Science and Social Studies). Districts/schools must make all necessary arrangements to make these accommodations available for ELLs/MLLs who need them. Please click here for the New York State Office of Bilingual Education and World Languages Webpage on "Assessment and Testing Accommodations".
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
Quality Digest (QD) was born 40 years ago. Birthed as Quality Circle Institute (QCI), the organization was conceived as a consultancy focused on bringing the success of quality control circles at Lockheed to organizations that were beginning to awaken to the importance of employee involvement in the improvement process.
RYAN E. DAY
JANUARY 13, 2022
Quality Digest (QD) was born 40 years ago. Birthed as Quality Circle Institute (QCI), the organization was conceived as a consultancy focused on bringing the success of quality control circles at Lockheed to organizations that were beginning to awaken to the importance of employee involvement in the improvement process. But times change and ideas evolve, and QCI became QD to better represent the broader quality industry, especially the movement toward international standards. In fact, the very definition of quality, and its role in manufacturing and business, has been something of a bone of contention all along.
One might assume the definition of quality to be a simple affair. Apparently, this is not the case. According to the Merriam-Webster Dictionary:
“Essential Meaning of quality = How good or bad something is, i.e.,
• Pollution affects air/water quality
• The restaurant serves food of high quality. [= the food at the restaurant is very good]
• The dress material is of poor quality. [= the dress material is not good]
A high level of value or excellence:
• Wine of quality [= very good wine]
• They offer quality at a reasonable price.”
The Cambridge Dictionary seems to agree:
“How good or bad something is:
• A store advertising top quality electrical goods
• The food was of such poor/low quality.
• Their products are of veryhigh quality.
• I only buy good-quality wine.
• The quality of the picture on our television isn't very good.”
But these two definitions are rather imprecise in application to business processes.
Back in 2001, QD readers, many of whom are quality and business professionals, provided their personal definitions of quality—each one filtered through the lens of their profession. A few examples include:
• “A product or process that is reliable and that performs its intended function is said to be a quality product.”
• “This is our slogan, and our policy: ‘Quality’ is to satisfy the ever-changing needs of our customers, vendors, and employees, with value-added products and services emphasizing a continuous commitment to satisfaction through an ongoing process of education, communication, evaluation, and constant improvement.”
• “Quality: The production of a commodity which conforms to standards applied to said commodity, be they mechanical standards, society's standards, etc.”
• “Quality itself has been defined as fundamentally relational: Quality is the ongoing process of building and sustaining relationships by assessing, anticipating, and fulfilling stated and implied needs.”
In the July 2000 issue of Quality Digest, Phil Crosby articulated what remains a popular understanding among manufacturing engineers and quality control professionals: “Those of us who have to make quality happen must have a definition that’s manageable and measurable.”
A consumer’s idea of quality is more nuanced than, say, an engineer’s. Whereas an engineer’s requirements for quality might focus on dimensional and functional tolerances, a consumer’s requirements always include cost as part of an equation. Consumers see quality in the context of value, and that is determined by a personal tolerance for quality vs. cost: “I’ll pay X amount of dollars for X amount of quality.” If the cost is too high for the apparent—or necessary—quality, the deal is off.
Bill Levinson had much to say about the context of the word quality, going so far as to suggest dropping the word “quality” from our lexicon altogether, and replacing it with “value” instead. Levinson makes many good points, but I still see quality as a component of value. Personally, I think much of the conundrum is caused by our conflating quality and value. Our definition of value depends on situatedness—the way we interpret and respond to the world around us.
If ISO standards highlight anything, it’s customer satisfaction’s central role in defining the context of quality.
ISO 9001:2015 specifies requirements for a quality management system when an organization:
a) Needs to demonstrate its ability to consistently provide products and services that meet customer and applicable statutory and regulatory requirements
b) Aims to enhance customer satisfaction through the effective application of the system, including processes for improvement of the system and the assurance of conformity to customer and applicable statutory and regulatory requirements.
Again, according to Crosby, “I have always defined quality as ‘conformance to requirements’; the ISO 9000 procedures use that definition also.”
When satisfying customers’ requirements, manufacturers must include the customers’ interpretation of quality-as-value as one of the product specifications, right along with dimensional tolerances. This reality of product design makes decisions decidedly more complex for manufacturers than consumers.
First of all, product engineers must satisfy both internal and external customers. The product being developed must conform to dimensional tolerances, functional requirements, manufacturability constraints—oh, and come in on budget. Then there are the questions of how tight to set design tolerances, and what materials to use for construction.
For instance, if a manufacturer builds a product that lasts longer, it will cost more to produce, thus increasing the cost to the consumer. Will consumers pay more for products that last longer, or is the “Amazon” principle of cheapest-sells-best an accurate sales forecast? What are the ramifications for the viability of their own company?
If a “better” but costlier product were available, but no one bought it, well, why build it? But, how often do consumers have that option? Think about it. Our purchasing options are usually something like small, medium, or large. We’re rarely presented with the option to pay more for the thing that’s going to last 10 years rather than five months.
One might wonder how much planned obsolescence has to do with decisions concerning product specifications and tolerances. Not to mention choice of materials. Then there’s the pesky problem of business models that depend on new-model sales to stay in business (talking to you, Apple).
So what comes first? The company that produces a “better,” costlier option—at the risk of sitting on unsold product—or the consumers who demand such an option and are willing to buy it? Can a manufacturing company invest in developing a longer-lasting product option and remain profitable? Or have consumer habits already forecast that as a doomed proposition?
I suppose these are questions that could take another 40 years to answer.
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
Mohammad-Reza Arbabi, head of Iran’s Association of Translators and Interpreters, announced the news on Wednesday.
Born in the Iranian city of Kashan in 1929, Araynpour founded the Premier School of Translation with his father’s help in 1969.
After graduation, he started teaching in American universities.
In 1999, he donated all the property he had inherited from his family to Kashan University.
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
It’s time to celebrate a new year. Good riddance to 2021, which seemed like a regurgitated, tired sequel of 2020. Here’s hoping 2022 won’t be 2020, too.
We’re all ready for a new year. What better way to bid adieu to the old and usher in the new but with new words! I’m talking about neologisms.
No, a neologism isn’t a word uttered by Neo in “The Matrix” movies. In fact, a neologism is a newly-coined word, expression or phrase. A neologism can also be a new use of a word. For instance, “troll” falls into the category of a new usage of a word, as its new meaning has to do with intentionally being obnoxious to someone else on the internet.
It seems as though, prior to 2020, most neologisms had to do with technology. And, because most people are practically hard-wired into our digital culture, these new expressions spread instantaneously. Sometimes it feels like these new words get created and disseminated so quickly that it’s impossible to keep up.
You don’t have to be a Greek scholar to break down the word neologism. The Greek prefix “neo-” means “new,” and the Greek word “logo” means “word.” New word. The word “neologism” came from the French word “néologisme,” which was adapted into English in the early 1800s.
In the past two years alone, we were all introduced to “contactless” food delivery as well as “contactless” payment at stores. A “quarantine baby” is a baby born during 2020 or 2021.
The Oxford English Dictionary recently named “vax” as its word of the year for 2021. Obviously, this word is a new take on “vaccine” or “vaccination.” Prior to 2020, I’m pretty sure that a “vax” was like a car phone, but instead, it was a fax machine installed into a minivan.
The year 2021 brought a new definition of “jab.” It coined the expression “Fauci ouchie.” It brought new meaning to the phrase, “Let’s all go out for shots!” Yes, the rapid growth of covidcabulary seems to bring a new word every day. I’ve had enough of pandemic puns, or, should I say “pundemic” words. However, up until this point, the Covid pandemic has undoubtedly been the all-encompassing story of this century’s roaring ’20s.
Because of the last two years, many of us have zoom fatigue due to our offices’ WFH policies. Spreading dangerous or false news about the pandemic (as well as threats of physical harm to others) has led to folks getting deplatformed.
I’m ready for a year of innovative, clever neologisms. As Scuttle the seagull sings in the stage musical of “The Little Mermaid”: I got positoovity.
—Curtis Honeycutt is a syndicated humor columnist. He is the author of Good Grammar is the Life of the Party: Tips for a Wildly Successful Life. Find more at curtishoneycutt.com.
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
As 2021 comes to an end, it’s the perfect time for reflection. And let’s be frank: Many of us wish the people in our lives would reflect on their communication skills. These days, there are some embarrassingly outdated buzzwords and clichés that make everyone want to scream.
Recently, we interviewed managers, recruiters and employees about the words and phrases they think should be retired in 2022 — or at least go on a long vacation. Here’s that list, dashed with a healthy amount of our opinions as grammar experts:
If you’re talking about internet usage, go for it. But today, a lot of people use “bandwidth” to refer to human capacities to take on a task — and it’s getting tired.
It has officially become a buzzword that your business partners don’t have the bandwidth to keep hearing.
As with “bandwidth,” here’s a computer word that spread to more general use, especially in marketing and advertising. Our main problem with it is that it’s dehumanizing and impersonal. Why not use people-centric words like customer, buyer or client?
Granular first made a major blip on the radar at the beginning of the pandemic. People talked about examining data on the granular level, looking at the smallest bits of information to make important decisions.
That’s legit, but it’s being used so often now that we seem to be avoiding a simpler word: “Detailed.”
To hack used to mean “to cut with heavy blows.” Then came the computer age, and a new definition (courtesy of programmers). Now millions of enthusiastic people are blithely hacking all sorts of things — from cookie recipes to clogged toilets.
To make things worse, these new hacks are sometimes as complicated as the old-fashioned “quick solutions,” which means a lot of hacks aren’t even hacks.
This is a petty one, but it’s also a phrase that a lot of people have complained about to us. You’re scrolling through Instagram and bam! Your friend posts that she “did a thing,” and puts up a picture of a holiday decoration she made.
Can’t she just say “I made this”?
This phrase is on a roll. Some say it dates back to a 1949 article in the Nebraska State Journal, but it really took off in the 2000s. In the past year, we’ve heard it everywhere.
Thanks to Covid especially, we’re all very aware that what is, is. So why does everyone have to keep smugly saying it?
You can’t escape influencers, although we’d like to try. Today pretty much anyone with even a small social media following is called an influencer — and businesses toss them a few bucks to tout, say, their massage oils, in the hopes it will increase sales.
(A frightening side note: New related terms are emerging, like thinkfluencers, microinfluencers, and nanoinfluencers.)
Jab, which means a quick, sharp blow or an injection into your body, was used mainly in Britain. But it made its way across the pond through Covid vaccination coverage and caught on big time.
“Jab” has a certain appeal; it’s a somewhat nonchalant way to describe a serious thing. But we might have to live with getting shots for a while, so it’d be nice to call them “shots” again.
We’ve used this phrase a lot ourselves in 2021. But it isn’t as new as you might think. While “the new normal” became a popular phrase during the 2008 financial crisis, it was actually first used after World War I to discuss the transition to a new world after the war.
Fast forward to 2021 and it has skyrocketed in use to talk about the Covid era. As you can see, normal is always changing, so “the new normal” doesn’t say much.
LinkedIn listed this as the word of the year in 2020. And as you’d expect, many people listed this as the most overused word of the year in 2021.
In business, pivoting means shifting direction in a major way. But it’s lost its meaning, since everyone is now “pivoting” all the time. Let’s put this one on the shelf unless we’re announcing a new global strategy.
“If one more person tells me they want to take it offline, I’ll scream.”
That’s what one irritated manager told us, and we hear her pain. It seems like everyone wants to take things offline instead of talking about it later, like they used to say in the old days. Maybe we should all take “offline” offline.
This ostensibly cool-sounding term ultimately has little meaning. While it’s supposed to describe those people who have such amazing ideas that other people follow them, “leader” itself seems fine. “Thought leader” comes across as a contrived, “let’s make up a new word that has more heft” term.
Sometimes, “we remain cautious” is used to say nothing — meaning “we’re not going to say much because who knows?” Other times, it’s used to say “not to worry; we’re not going to do anything untoward.”
Either way, it’s unnecessary verbiage. Of course you’re being cautious; we’d hope so!
“WFH” started as a useful acronym. There was a definite need for it when most of us really were working from home and needed something quick to text.
But now, it’s overused: WFH clothes, WFH hacks (see above), WFH everything. Work from home is an important part of the new work reality, so what if we stop calling it out as something special each and every time?
For the past year, everyone was “Zooming,” even if they used Microsoft Teams. We’re tired of Zooming, and we’re just as tired of the word.
The big question is: Will “Zoom” as a generic term stick, or will it go the way of Xerox? We’ll Google “Zoom” next year and see. (And yes, we use “Google” generically!)
Kathy and Ross Petras are the brother-and-sister co-authors of “Awkword Moments,” “You’re Saying It Wrong” and “That Doesn’t Mean What You Think It Means.” Their work has been featured in The New York Times, The Washington Post and Harvard Business Review. Follow them on Twitter @kandrpetras.
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
Sur les ondes de Sud Radio, la journaliste et essayiste Élisabeth Lévy dénonçait le 13 mai 2020 un «néo-féminisme qui criminalise le désir masculin». Elle n'est pas la seule. Le 8 mars 2021, le journal Marianne publiait une tribune intitulée «Quand le néo-féminisme dessert la cause des femmes». Une autre tribune, publiée le 10 août 2020 par Le Télégramme, indiquait: «Les dérives du néo-féminisme: “c'est la haine des hommes!”».
À l'instar du «wokisme» ou encore de l'«islamo-gauchisme», le mot «néo-féministe» est en vogue dans une certaine presse comme chez les idéologues. Mais que signifie-t-il? Chez certains universitaires, le terme est utilisé de manière purement descriptive. Il désigne l'émergence d'une nouvelle génération de féministes pour les démarquer de la précédente.
Aujourd'hui, il est difficile de trouver une définition institutionnelle du «néo-féminisme». Si l'on en croit les utilisateurs du terme, le mot désignerait un féminisme «victimaire, puritain et essentiellement sexiste». C'est ce que défend Renée Fregosi, philosophe et politologue, dans une tribune écrite pour Le Figaro.
Pascal Bruckner, essayiste, décrit le «néo-féminisme» comme «un féminisme qui accuse le genre masculin tout entier» lors d'un passage sur France Inter. Il oppose également le «néo-féminisme» au féminisme de Françoise Giroud, Élisabeth Badinter ou Simone de Beauvoir, qui était selon lui «un féminisme de réconciliation».
Dans la bouche de ceux qui l'emploient, le terme «néo-féminisme» est souvent suivi d'une série de griefs. Ainsi, Valérie Toranian, directrice de la Revue des Deux Mondes, l'utilise pour dénoncer les dérives du féminisme intersectionnel: «Le néo-féminisme intersectionnel et racisé fait aujourd'hui la promotion d'un identitarisme obsessionnel qui fut l'apanage de l'extrême-droite.»
Interrogée pour Slate, Audrey Jougla, professeure de philosophie et autrice de la tribune «Quand le néo-féminisme dessert la cause des femmes», précise que le «néo-féminisme» recouvre «un féminisme très vindicatif de la troisième vague dans son ton et sa manière d'agir». De son côté, Tristane Banon, journaliste et romancière française, explique au journal belge L'Écho que le mouvement «néo-féministe» «diabolise et exclut les hommes» et qu'il est «inutilement agressif, radical et extrémiste».
L'emploi du mot «néo-féminisme» n'est pas nouveau. Déjà, à la fin des années 1970, on l'entend dans un moment de forte opposition au mouvement féministe. «Certaines intellectuelles, par exemple Annie Le Brun, se sont mises à attaquer le féminisme, analyse Martine Storti, autrice de Pour un féminisme universel et ancienne militante du MLF. Après sept ou huit ans de militantisme au MLF, les effets du féminisme se faisaient sentir et certaines s'en exaspéraient, critiquant tous azimuts.»
C'est dans ce contexte que l'écrivaine française Annie Le Brun publie en 1978 un essai intitulé Lâchez tout dans lequel elle dénonce le «néo-féminisme». Une notion qu'elle définit «par opposition au féminisme, dont le souci majeur était justement d'en finir avec tous les ghettos des femmes entre elles», explique-t-elle lors d'un passage dans l'émission littéraire «Apostrophes».
Elle y dénonce un totalitarisme qu'elle considère comme vecteur d'une propagande fondée sur l'apologie de la différence sexuelle féminine. L'écrivaine va plus loin en comparant les «néo-féministes» à des «meutes hurlantes» et à une solution collective qui chercherait à «effacer l'individualité de chaque femme» à l'instar du «fascisme ou du stalinisme».
D'Annie Le Brun aux tribunes du Figaro mentionnées précédemment, le mot «néo-féminisme» semble être employé pour discréditer le bien-fondé d'un engagement féministe –souvent jugé extrémiste– à une époque donnée. Pour Martine Storti, le mot est avant tout une construction idéologique qui sert de «disqualification globalisante. On désigne par ce terme le féminisme dont on ne veut pas, c'est une facilité.»
Le mot «néo-féminisme» devient alors une excuse pour accuser une féministe de tous les maux. «Aujourd'hui, on met dans “néo-féministe” aussi bien l'écriture inclusive que l'intersectionnalité, l'idéologie décoloniale ou même la lutte pour l'élargissement du droit à l'avortement, estime-t-elle. Tout est amalgamé, comme si, lorsqu'on était pour l'écriture inclusive, on était aussi complice du terrorisme islamiste. Ce sont des globalisations détestables.»
Cette disqualification, les militantes féministes la vivent dans leur chair. Les femmes désignées comme des «néo-féministes» le reçoivent comme une offense: «Lorsque les gens m'ont qualifiée ainsi, ça a toujours été pour m'insulter» déclare Simone, activiste féministe et fondatrice du blog Minute Simone.
Certaines activistes féministes contemporaines perçoivent également le mot «néo-féminisme» comme une manière de contester leur appartenance au mouvement féministe: «C'est pour décrédibiliser l'ensemble de nos combats. C'est un peu une façon de nous couper de l'historicité du féminisme, de nous invalider», analyse Anna Toumazoff, activiste féministe.
En 1978, Annie Le Brun reprochait aussi au «néo-féminisme» du MLF de «canaliser et caricaturer par les limites d'un corporatisme sexuel l'ampleur de la révolte de féministes comme Louise Michel ou Flora Tristan». Ce procédé d'opposition entre féministes du passé et celles de la nouvelle génération est inhérent au terme «néo-féministe» selon Christine Bard, historienne du féminisme et de l'antiféminisme: «C'est une manière d'opposer les féministes entre elles. C'est une tactique antiféministe bien rodée de faire travailler dans le débat un conflit de générations qui mineraient de l'intérieur le féminisme», détaille-t-elle.
Cet antagonisme entre nouvelle et ancienne générations de féministes est régulièrement mobilisé par les utilisateurs du mot «néo-féministe». Ainsi, lors d'un passage sur CNews, le philosophe Alain Finkielkraut estimait que «les néo-féministes ne combattent plus pour l'égalité des droits, car elles l'ont obtenu, elles combattent pour les places». Il estimait également, sur France Inter, qu'elles étaient «des mauvaises joueuses» et que «certaines féministes continuent, comme si de rien n'était, à dénoncer la perpétuation, voir l'aggravation, de la domination masculine».
Pour Francine Descarries, professeure de sociologie à l'Institut de recherches et d'études féministes de l'Université du Québec, cet aspect du mot «néo-féministe» correspond à celui du «mythe de l'égalité déjà là». Ce concept, forgé par la sociologue Christine Delphy, est apparu «lorsque les plus grandes embûches législatives [concernant les droits des femmes, ndlr] ont été abolies avec des nouvelles lois qui prônent l'égalité», poursuit Francine Descarries.
Le mythe en question «laisse croire qu'à la suite de l'obtention de ces droits, il n'est plus nécessaire de lutter et que la lutte pour l'égalité des femmes est aboutie». Une idée que la sociologue récuse: «Ce type d'idéologie vient avec l'idée qu'il faudrait cesser toute analyse différenciée selon les sexes», explique-t-elle.
Si les usages idéologiques du mot «néo-féminisme» s'avèrent disqualifiants, force est de constater que les relais du terme ne sont pas tout le temps farouchement antiféministes. Ainsi, Élisabeth Badinter, philosophe dont les thèses sur la maternité comme construction sociale ont retenti dans le milieu féministe des années 1980, utilise également le terme.
«À chaque nouvelle génération, on a l'impression qu'il y a une réinvention du féminisme.»Francine Descarries, professeure de sociologie
Dans une tribune pour le Journal du dimanche, elle dénonce un «néo-féminisme» qui déclare «la guerre des sexes» et des activistes «néo-féministes» qui mènent vers «un monde totalitaire». L'utilisation du terme par certaines activistes féministes, plus âgées, cache-t-il une forme d'incompréhension et de rupture entre deux générations?
Sur le plan purement linguistique, être une «néo-féministe» n'est pas une insulte. Le terme est parfois utilisé dans le monde universitaire pour désigner une nouvelle génération de féministes afin de les distinguer de la précédente. Pour autant, cela justifie-t-il l'utilisation du terme?
Selon Francine Descarries, la division entre ancienne et nouvelle génération de féministes est une illusion: «À chaque nouvelle génération, on a l'impression qu'il y a une réinvention du féminisme. Il y a peut-être une réinvention de stratégies, de façons dont interprète la réalité. Chaque génération s'est inspirée de la génération précédente et elle prend, complète, ajoute des adaptations.» La messe est dite: il ne reste plus qu'à espérer la réconciliation de toutes les féministes, qu'elles soient «néo» ou non.
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
Information is a critical resource. Dementia Map’s FREE Glossary contains short, simple descriptions of many important terms to assist you during your dementia caregiving journey.
This is not intended to replace direct medical advice. Be sure to seek the guidance of a trained medical professional. Our goal is to give you an orientation to get you started.
We are continually adding to the Dementia Map Glossary. If there is a specific topic of interest, and we have not yet covered it, please let us know. It would be our pleasure to research the subject and provide you with straightforward information.
A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | #
A
The Activities Director and their staff are valuable members of a continuing care community. Also known as Lifestyle Director, Life Enrichment Director, or Program and Events Director, their role is to plan and facilitate enrichment activities both for group settings and for individuals. Activities can range from trivia and games, to art and singing – and much, much more – helping residents stay social, intellectually stimulated, and engaged, which supports their ability to remain active and alert.
Routine tasks such as getting dressed, basic grooming habits, eating, using the bathroom, going to the store, and other parts of everyday life. Individuals living with dementia can need assistance with some or all ADLs, depending on the progression of the disease. Discussing ADLs with a professional can help identify any additional needs as well as potential supportive services available to them.
As the most common form of dementia, Alzheimer’s Disease makes up over 60% of the dementia cases globally, but when affecting those under 65, its called Early Onset Alzheimer’s Disease (EOAD). This is a progressive disease, meaning it does get worse over time starting with slight memory loss, moving to an inability to have a conversation, an ultimately, death. Although a significant cause of death, individuals living with Alzheimer’s Disease can often live many years after their diagnosis.
B
The symptoms associated with dementia are often called “dementia-related behaviors” and can include not just cognitive decline, but problems with sleep, aggressive behavior, hallucinating, and more. Modern terminology is changing, with the word “behavior” having a somewhat negative connotation and is starting to be replaced with “reaction” or “clues” or other descriptive terms. If any of these symptoms are visible, or other unexplained behaviors, it is likely a good idea to have a thorough examination by a medical professional.
Measurement for the presence or how severe a disease is done using a Biomarker. For example, the measurable conditions of blood are Biomarkers for heart disease, with others relating to areas such as urine, saliva, or the results of x-rays or other imaging procedures. When using Biomarkers for dementia presence or changes in the brain, it is common to use MRI or PET scans and to evaluate specific protein levels in blood, along with other testing procedures.
C
Cognition is an overall term for how we think, reason, and understand our environment. Dementia can change our ability to do these things successfully and is often noticed by others before we notice it in ourselves. These changes can include memory loss, finding the right words to use, getting lost or disoriented, impacts on motor skills, and difficulty planning or managing complex tasks.
Although an extremely rare form of dementia, Creutzfeldt-Jakob disease progresses quickly as a result of changing proteins in the body that impact the brain and the central nervous system. Conditions associated with CJD include anxiety, depression, memory loss, and overall personality changes, often culminating with coma and death. When CJD is diagnosed, the goal is usually to manage pain and address the symptoms since no known treatment exists.
D
One sign of the possible existence of dementia are delusions. This is when the individual fully and truly believes something that is false or is not real and usually occurs in mid- to late-stage dementia. A key contributing factor is when the person can’t remember objects, people, or places.
The term “dementia” refers to a variety of symptoms related to a reduction in memory and processing skills. There are many forms of dementia, depending on the impacts to the brain and how they affect the individual. Alzheimer’s Disease is just one of many types of dementia, but it is the most common.
Simply, Dysphagia is difficulty swallowing, which can occur gradually due to a progressing illness, or it can occur suddenly due to a life experience. Many individuals over 60 years of age have trouble swallowing food and it can become an issue for those living with dementia. Dysphagia can be address in many ways, ranging from a simple change of diet to medication to surgery.
E
When dementia occurs in someone under 65 years old, it is referred to as Early Onset Dementia. Early Onset often appears unexpectedly because only a small percentage of people who develop dementia see it occur prior to the age of 65. When an Early Onset diagnosis is received, the person can already be at any stage of the disease, whether it be early-stage, middle-stage, or late-stage.
An Elder Law Attorney is a legal professional who specializes in areas important to older adults. These areas go far beyond basic estate planning like long-term care planning, end-of-life decisions, and much, much more. To find an Elder Law Attorney, ask for a referral from someone with similar needs as yours, visit the National Academy of Elder Law Attorneys, or your local American Bar Association.
F
Although the most common form of providing care to a loved one comes from a family member, there are other care relationships that may not include a family member. A person’s “representative” might be someone outside the family that is entrusted with making health-related decisions for that person when they can’t make them for themselves. However, to allow these decisions to be make legally, proper documents must be executed in advance, like a Health Care Power of Attorney, which specifically designates that person to make healthcare decisions when needed.
Although somewhat less common than other types of dementia, Frontotemporal dementia (also known as FTD) is disproportionately more common for individuals under 60 years of age. It is caused by a deterioration of the brain in the frontal and temporal lobes. These areas control language, personality, and behavior and as such, cause changes in those traits.
G
How we move our legs and swing our arms when walking or otherwise moving along is known as gait. When the brain starts to lose its ability to control motor skills, it often shows up in the form of a shuffling type of walk. Researchers have found there can be different patterns to one’s gait, depending on the type of dementia and parts of the brain affected.
A physician whose specialty is the treatment and care of older adults is called a Geriatrician. They are medical school graduates, with full medical training and state licensure, and are board-certified for family practice or internal medicine. While there is no magic age at which a Geriatrician is required, consideration is warranted if the medical needs of the older patient become considerable.
H
Hallucinations occur when one sees, hears, or even tastes something that isn’t really there. For individuals living with various forms of dementia, they are primarily caused by the impact on the brain from the progressing disease. Parkinson’s and Lewy Body dementias cause hallucinations more often than other forms and generally occur in the middle to late stages.
Hospice and the associated Hospice Care helps individuals live as comfortably and in as much of a dignified manner as possible as they approach the end of their lives. Although often underutilized for those with dementia, Hospice should be considered once a decline in physical condition is noticeable. Hospice can help provide better pain control and result in a much better experience for the individual as well as the family.
I
Incontinence is the loss of bladder or bowel control. Individuals living with dementia may develop incontinence when the brain doesn’t understand when the bladder or bowel is full. The resulting lack of control can be managed with absorbent wearables to minimize the impact on dignity and self-esteem.
Professional services offered in the home are considered In-Home Care and range from non-medical assistance like dressing, bathing, and companionship to full skilled nursing services for serious medical needs. A few examples include physical or speech therapy, nutrition advice, support for tasks around the home, assistance with wound care – and much, much more. In-Home Care can not only improve morale through an improved feeling of independence, but can also be a way to help prevent the need for unexpected and unnecessary hospitalizations.
J
Founded in 1951, the independent and non-profit Oakbrook Terrace, Illinois-based Joint Commission is healthcare’s largest standards and accrediting organization. Their accreditation scope spans hospitals, home care, pharmacy, medical equipment, long term care, mental health, laboratory services, and much more. Certifications are granted in areas including cardiac and stroke, palliative care, home health, patient blood management, health care staffing, among many others.
K
Named after 19th century Russian neuropsychiatrist Sergei Korsakoff, Korsakoff Syndrome is a degenerative brain disease. Similar to other dementia symptoms, it can cause short-term memory loss and difficulty learning and retaining new skills. Korsakoff Syndrome is thought to be caused by a serious vitamin B-1 deficiency, impacted by the overuse of alcohol, dietary and eating disorders, excessive vomiting, and even the results of chemotherapy.
L
Named after neurologist Frederic Lewy, Lewy Bodies are a type of protein deposit which collect in certain areas of the brain. Those areas are responsible for controlling vision and recognition, organized speech, balance and coordination, and alertness. Although different from Alzheimer’s and Parkinson’s Diseases, Lewy Body Dementia is also a progressively degenerating disease.
Although not actually a Will, a Living Will is a legal document that indicates your desire for the end-of-life care you wish to receive, especially if you become incapacitated and can not make that decision at the time. Living Wills often address issues such as whether life support machines are to be used, how pain management should be handled, your wishes about organ donation, and more. Since a Living Will is used to ensure your wishes are honored, health care professionals are obligated to deliver care accordingly.
M
A Memory Cafe is a dementia-friendly event designed for both the person living with dementia AND their care partner – this IS NOT respite care. They can be highly structured with information presentations, they can be art or craft or music oriented, have a simple format with very informal conversation, or any combination of these. Memory Cafes were originally offered as “in-person” events, but many are now offered “virtually” from practically anywhere around the world, allowing participation online from the safety and comfort of home.
Also known as MCI, Mild Cognitive Impairment is a moderate, but measurable and somewhat noticeable decline in cognitive ability. Examples include reduced ability to remember facts and/or people, concentrate, or formulate ideas. Individuals experiencing MCI may be at risk for developing various forms of dementia.
Neurologists are doctors whose training has focused specifically on the Central Nervous System, which is essentially the brain and the spinal cord. They diagnose, test, and perform procedures in their work to identify subtle issues in the brain affecting memory. Although they treat patients with epilepsy, stroke, multiple sclerosis, and Parkinson’s disease, they are often consulted in situations involving dementia.
A Neurodegenerative Disease is when the brain tissue deteriorates and impacts the cells and how they connect to one another. The main types of dementia considered Neurodegenerative are Alzheimer’s, Vascular, Lewy body, Parkinson’s, and Frontotemporal. This is unfortunately a progressive disease and is not reversible.
O
The Occupational Therapist’s (OT) role is to help teach individuals living with dementia to accomplish what may have previously been everyday activities like walking up stairs, getting dressed, cooking a meal, or a multitude of other tasks. This not only helps the person stay safe, but instills independence, quality of life, and overall self-esteem. Occupational Therapy can be valuable regardless whether the person living with dementia is in the early, middle, or later stages.
An Ombudsman represents the public’s interests by investigating complaints about rights violations. They know the laws and regulations surrounding care in assisted living, nursing, and memory care communities and regularly visit local facilities. Their primary role is to make sure residents remain safe.
P
Care is considered Palliative when it is focused on the patient’s needs, not on the medical condition. It is intended to improve the quality of life for both the patient and their family members and can take place while treatment for the medical condition is under way. One example of Palliative Care is the specialized approach to pain relief or other symptoms that is caused by medical treatments or other procedures and conditions.
Parkinson’s Disease is a type of dementia that exhibits shaking through muscle tremors, restricted or slow movement, stiffness, loss of balance, and impaired speech. Although medication can be successful in helping to control the symptoms, Parkinson’s Disease is a slow, but progressively degenerative brain disease.
Q
Health care quality is measured by a set of Quality Indicators, generally represented by effectiveness, safety, timeliness, and patient-centeredness. For the dementia community, early recognition and prompt support can improve the quality of care. However, additional work is needed to standardize measurements in the areas of specialist referral effectiveness, collaboration between medical professionals, and the care and support of family care partners.
Overall, Quality of Life is a gauge of the comfort and health level of an individual based on elements such as physical, emotional, and social well being. With respect to individuals living with dementia, this can also include their mood, memory and recall abilities, and their ability to engage in enjoyable activities. Paying attention to the details surrounding Quality of Life and looking for ways to improve them can be a significant tool in caring for an individual living with dementia.
R
When caring for a person living with dementia, Redirection is used to assist them with moving away from a stressful situation and toward a feeling of calm. This is not about “changing the subject” but is a compassionate and artful approach which recognizes a specific problem they are having. By gently inserting an element of comfort to ease a stressful situation, it will help change their emotional direction.
When we reminisce, we bring a memory of an image or idea from the past, back into our present mind. Every time we practice reminiscence, it improves our memory by strengthening the connection to the thought. When individuals living with dementia are helped to reminisce through sharing pleasant memories, it can help to reduce stress, agitation, and wandering, and help to improve mood and overall well being.
A common definition of “respite” is a short break or time away. Respite Care is no different, as it it provides brief breaks from the hard work of caregiving by having someone else temporarily (and frequently) be responsible for the person for which care is being provided. Very similar to the instructions given on airplanes to “place your oxygen mask on first…” it is critical the caregiver maintain good mental and physical health so they continue to have the ability to care for a loved one.
S
As we age, many of us eventually need specialized services, based on our condition. Senior Care is the collection of services specifically for our senior population, supporting physical, social, emotional, and financial needs helping them age with dignity. Services that constitute Senior Care are often referred to as Home Care, Adult Day Care, Housing, Long Term Care Insurance, Coaching and Support Groups, Hospice, and much more.
Shadowing is when the individual living with dementia begins to follow their caregiver around constantly and often includes interrupting and mimicking. It is believed Shadowing occurs around mid- to late-stage dementia, often when memory is becoming worse, their familiar world is becoming less so, and it becomes comforting to keep their caregiver in sight at all times. This constant “invasion” of personal space can have an impact on the caregiver’s mental health and could be addressed by frequent support through Respite Care and other means.
T
Nerve cells contain a protein called Tau that is a normal part of their structure. Tau’s role is to assist in guiding the nutrients and other materials that ultimately provide nourishment to the brain to help it operate correctly. When Tau isn’t working properly, it can become part of the plaque “tangles” that impact the brains of individuals living with Alzheimer’s disease.
Thyroid Disease (under-active or over-active) is often associated with dementia-like symptoms such as cognitive impairment or memory loss. Fortunately, thyroid problems can be discovered with a blood test. Since thyroid issues are often treatable, the dementia-like symptoms can be reversible.
U
This lab test (testing someone’s urine sample) can be an important tool in caring for someone with early memory loss. A Urinalysis can detect the presence of a Urinary Tract Infection (UTI) that can often cause an individual living with dementia to exhibit serious confusion, very suddenly, called delirium. When a dramatic change in demeanor is noticed, it is a good idea to discuss it with your medical professional.
V
Vascular Dementia can result from a stroke, which restricts blood flow to the brain and damages brain tissue. As a fairly common dementia, it can also be caused by high blood pressure, heart disease, obesity, and diabetes. Cognitive decline from Vascular Dementia often gets worse over time, with mood and the ability to concentrate as some of the most visible impacts.
W
Wandering is the common action of many people living with dementia when they walk away from their home or location. It is believed that the fear or stress of a busy or crowded environment, say, like a large family gathering or possibly a restaurant, might cause the person to need to get away. What is dangerous is the potential for individuals living with dementia at any stage to loose their way by not remembering where they are or where they have been.
X
Y
Younger-Onset is often known as Early-Onset. This is generally when an individual develops dementia younger than 65 years of age. It is common for those developing Younger-Onset dementia to have it occur in their 40s and 50s.
Z
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Rescooped by Charles Tiayon from Metaglossia: The Translation World |
New words: entirely new headword entries appearing in OED for the first time
New sub-entries: compounds or phrases integrated in to the body of newly or recently updated entries
New senses: new senses integrated in to the body of newly or recently updated entries
Additions to unrevised entries: new senses, compounds, or phrases appended to the end of existing OED entries which have not yet been updated for the Third Edition