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Record W201060371 · doi:10.5206/cie-eci.v40i1.9173

Nouvelle regulation de l’education et transformation du travail enseignant : une analyse des experiences des enseignants de Vancouver, Toronto et Montreal

2011· article· fr· W201060371 on OpenAlexaffvenueabout
Madeleine Tchimou

Bibliographic record

VenueComparative and International Education · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesSociologyPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article rend compte de l‘évolution des pratiques enseignantes induites par la mise en oeuvre des politiques scolaires définies dans le cadre de la nouvelle régulation. Des entrevues ont été menées auprès des enseignants d‘écoles primaries et secondaires. L‘étude des cas de la Colombie- Britannique, de l‘Ontario et du Québec a été privilégiée. L‘analyse des résultats montre que les effets des nouvelles politiques, en termes de transformation des pratiques enseignantes, sont différemment vécues et interprétés par les répondants de l‘étude. This article reports on the evolution of teaching practices resulting from the implementation of educational policies as defined in the frame of new regulations for education. Interviews were conducted with teachers from elementary and secondary schools. A case study was developed focusing on results from British Columbia, Ontario and Quebec. An analysis of the results shows that the effects of the new policies in terms of transforming teaching practices are experienced and interpreted in different ways by the participants in the study.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.704

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0320.021
Scholarly communication0.0090.002
Open science0.0020.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.286
GPT teacher head0.445
Teacher spread0.159 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2011
Admission routes3
Has abstractyes

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