Cant Download On Mac
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A cant is the jargon or language of a group, often employed to exclude or mislead people outside the group.[1] It may also be called a cryptolect, argot, pseudo-language, anti-language or secret language. Each term differs slightly in meaning; their uses are inconsistent. Richard Rorty defines cant by saying that "'Cant', in the sense in which Samuel Johnson exclaims, 'Clear your mind of cant,' means, in other words, something like that which 'people usually say without thinking, the standard thing to say, what one normally says'." In Heideggerian terms it is what "das Man" says.[2]
Under the strictest definition, an argot is a proper language with its own grammatical system.[7] Such complete secret languages are rare because the speakers usually have some public language in common, on which the argot is largely based. Such argots are lexically divergent forms of a particular language, with a part of its vocabulary replaced by words unknown to the larger public; argot used in this sense is synonymous with cant. For example, argot in this sense is used for systems such as verlan and louchébem, which retain French syntax and apply transformations only to individual words (and often only to a certain subset of words, such as nouns, or semantic content words).[8] Such systems are examples of argots à clef, or "coded argots".[8]
In the field of medicine, physicians have been said to have their own spoken argot, cant, or slang, which incorporates commonly understood abbreviations and acronyms, frequently used technical colloquialisms, and much everyday professional slang (that may or may not be institutionally or geographically localized).[9] While many of these colloquialisms may prove impenetrable to most lay people, few seem to be specifically designed to conceal meaning from patients (perhaps because standard medical terminology would usually suffice anyway).[9]
In parts of Connacht, in Ireland, cant mainly refers to an auction, typically on fair day ("Cantmen and Cantwomen, some from as far away as Dublin, would converge on Mohill on a Fair Day, ... set up their stalls ... and immediately start auctioning off their merchandise") and secondly means talk ("very entertaining conversation was often described as 'great cant'" or "crosstalk").[18][19]
In Scotland, two unrelated creole languages are termed cant. Scottish Cant (a mixed language, primarily Scots and Romani with Scottish Gaelic influences) is spoken by lowland Roma groups. Highland Traveller's Cant (or Beurla Reagaird) is a Gaelic-based cant of the Indigenous Highland Traveller population.[3] The cants are mutually unintelligible.
The word has also been used as a suffix to coin names for modern-day jargons such as "medicant", a term used to refer to the type of language employed by members of the medical profession that is largely unintelligible to lay people.[1]
The thieves' cant was a feature of popular pamphlets and plays, particularly between 1590 and 1615, but continued to feature in literature through the 18th century. There are questions about how genuinely the literature reflected vernacular use in the criminal underworld. A thief in 1839 claimed that the cant he had seen in print was nothing like the cant then used by gypsies, thieves, and beggars. He also said that each of these used distinct vocabularies, which overlapped, the gypsies having a cant word for everything, and the beggars using a lower style than the thieves.[22]
A surprisingly large fraction of applicants, even those with masters' degrees and PhDs in computer science, fail during interviews when asked to carry out basic programming tasks. For example, I've personally interviewed graduates who can't answer "Write a loop that counts from 1 to 10" or "What's the number after F in hexadecimal?" Less trivially, I've interviewed many candidates who can't use recursion to solve a real problem. These are basic skills; anyone who lacks them probably hasn't done much programming.
Before a job offer has been made, you can't ask questions about an applicant's disability or questions that are likely to reveal whether an applicant has a disability. This is true even if the disability is obvious. You can ask the applicant to describe or demonstrate how she would perform specific job tasks, but you can't ask about her disability.
You also can't ask questions about an applicant's genetic information, such as the applicant's family medical history or receipt of genetic tests or genetic counseling.
Technical feasibility is a necessary precondition for automation, but not a complete predictor that an activity will be automated. A second factor to consider is the cost of developing and deploying both the hardware and the software for automation. The cost of labor and related supply-and-demand dynamics represent a third factor: if workers are in abundant supply and significantly less expensive than automation, this could be a decisive argument against it. A fourth factor to consider is the benefits beyond labor substitution, including higher levels of output, better quality, and fewer errors. These are often larger than those of reducing labor costs. Regulatory and social-acceptance issues, such as the degree to which machines are acceptable in any particular setting, must also be weighed. A robot may, in theory, be able to replace some of the functions of a nurse, for example. But for now, the prospect that this might actually happen in a highly visible way could prove unpalatable for many patients, who expect human contact. The potential for automation to take hold in a sector or occupation reflects a subtle interplay between these factors and the trade-offs among them.
Nonetheless, some healthcare activities, including preparing food in hospitals and administering non-intravenous medications, could be automated if currently demonstrated technologies were adapted. Data collection, which also accounts for a significant amount of working time in the sector, could become more automated as well. Nursing assistants, for example, spend about two-thirds of their time collecting health information. Even some of the more complex activities that doctors perform, such as administering anesthesia during simple procedures or reading radiological scans, have the technical potential for automation.
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