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Record W2191669910

La diversité ethnoculturelle en formation initiale des enseignants : création d’une ressource collaborative pour le développement de la compétence interculturelle

2015· article· fr· W2191669910 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

L’enseignant d’aujourd’hui, en raison de la diversité ethnoculturelle au sein des écoles québécoises est appelé à répondre aux exigences d’une société tournée vers l’avenir, à jouer « un rôle de passeur culturel » tel que présenté par Zakhartchouk en 2005. On constate des transformations à la fois du système scolaire québécois et de la population scolaire québécoise au cours des années, et cette diversité ethnoculturelle croissante entraîne alors l'apparition de nouveaux défis pour les futurs enseignants de l’école québécoise (Steinbach, 2012). La perspective d’un apprentissage collaboratif à travers les communautés d’apprentissage virtuelles retient l’intérêt de nombreux praticiens et chercheurs et peut s’avérer une piste de réflexion intéressante pour élaborer des notions communes et rompre l’isolement des enseignants. Cette recherche vise à donner l'accès aux enseignants en formation initiale du Québec, à davantage de ressources portant sur la diversité ethnoculturelle issues de la littérature, des recherches et des pratiques.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.309
GPT teacher head0.534
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it