MétaCan
Menu
Back to cohort
Record W4306921420 · doi:10.37571/2022.0306

Les effets perçus du coenseignement intensif sur la gestion de classe et le comportement des élèves

2022· article· fr· W4306921420 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueDidactique · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Dans le cadre d’un projet portant sur la mise en œuvre de coenseignement intensif dans cinq écoles secondaires, la question de la gestion de classe a été abordée dans le cadre d’un entretien semi-directif. Malgré l’existence d’une littérature abondante sur la gestion de classe et sur le coenseignement, peu de recherches ont été réalisées sur la gestion de classe en contexte de coenseignement, les enjeux, les pratiques, etc. Les résultats montrent que les pratiques de gestion de classe en contexte de coenseignement s’appuient sur une coprésence importante en temps, une relation de coenseignement et une co-intervention rapide au niveau comportemental. S’appuyant sur la comparaison avec l’enseignement solitaire, quatre catégories principales émergent de l’analyse de contenu : la coprésence ; la rapidité de l’intervention ; les relations enseignant·es-élèves et enfin, les relations entre enseignant·es.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.313
Teacher spread0.285 · 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