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Enregistrement W263348115

In Canada: Lost in Translation.

2005· article· en· W263348115 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevuePhi Delta Kappan · 2005
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueEducation in Diverse Contexts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEconomic shortageTest (biology)RealmMathematics educationWork (physics)LiteracyThe InternetVignettePsychologyMedical educationSociologyPolitical sciencePedagogyGovernment (linguistics)MedicineEngineeringComputer scienceSocial psychologyLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

RECENTLY found the following query posted to the Internet chatroom of the Math Central website hosted by the University of Regina: What is the future demand, in numbers, for a secondary mathematics teacher? The response read, Across North America, the demand for secondary mathematics teachers is higher than the number of people qualified and interested in teaching math. Certainly, in Ontario (where work) there is a shortage that will get worse for the next five years or more. am co-chairing a committee trying to come up with solutions. An hour later, found this submission to a site dedicated to encouraging teachers around the world to explore teaching in Canada: I am an experienced maths teacher having 8 yrs experience in India. can teach maths from 1 to +2 level having a qualification of M.Sc. B.Ed. and interested to work in a school abroad. Please contact. Three months after the entry was submitted, the follow-up read, No responses. If this vignette appeared as an item on the Ontario Grade-10 Literacy Test, students would be expected to make the link between problem and solution. One might expect even more literate policy makers, within and outside the realm of education, to be equally discerning. Canada has a demonstrable shortage of skilled workers and professionals that will become more acute as the work force ages. Canadians stubbornly refuse to replicate themselves by having more children. The country is at risk of finding itself short not only of physicians and math teachers but also of enough working-age, tax-paying citizens to support aging baby boomers in the style to which they have become accustomed. Phrased somewhat more elegantly, this argument is now offered alongside the more high-minded justifications for a national immigration policy that has brought more than 3.3 million and refugees to this country over the last 15 years.1 To be sure, every Canadian, with the exception of First Nations peoples, is an immigrant. There's even a well-known joke underlying the point: What's the definition of a Canadian? An immigrant with seniority. Past waves of immigration tended to draw from the United Kingdom, France, and, to a lesser extent, the northern European countries. Adventurers were eager to claim their share of the national dream, or so the story goes. The reality is a bit more harsh. Chinese nationals were recruited to build the national railroad; Italians, to work in the mines of northern Ontario; Ukrainians and Poles, to farm the inhospitable prairies. Yet, with the exception of Asian immigrants, who faced a head tax as the price of entry, policies of the past favored least identifiable as newcomers -- the ones most likely to look and act like the immigrants with seniority who were already here and already in charge. Several converging factors have transformed the face of this nation over the ensuing decades. The most significant influence has been the rise of the official story of this country as a grand experiment in multiculturalism. Especially during the 1990s, immigration policies became simultaneously more liberal in terms of numbers and more selective in their eligibility criteria. Fluency in either French or English became less essential, while employability, as predicted by postsecondary or professional qualifications, was given greater importance. The policies' architects believed that multiculturalism was most likely to succeed if newcomers could slide seamlessly into workplaces where they could contribute to the economy and raise children who would in turn embrace the pluralism of their new country. Once they had learned the language, of course. Dreams are good things, but they're hard to pin down. Hard to realize, too. Opponents of multiculturalism, whose numbers are either relatively small to begin with or constrained by political correctness (depending on one's perspective), see it as little more than a contrivance to ensure that Liberal governments are elected in perpetuity by grateful newcomers. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,829
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,048
Tête enseignante GPT0,320
Écart entre enseignants0,272 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle