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Record W4389721919 · doi:10.7202/1108080ar

Une étude de cas d’école inclusive

2023· article· fr· W4389721919 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

VenueEnfance en difficulté · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Dans le cadre de cet article, le processus d’implémentation, d’institutionnalisation et de systématisation d’un dispositif de coenseignement inclusif sera analysé par l’étude de cas d’une école secondaire québécoise. Cette école a systématisé graduellement un coenseignement total dans toutes les classes de 1 re et 2 e secondaire (en français, mathématiques et anglais) en réorganisant les ressources et en réorientant la population d’élèves en difficulté d’apprentissage et/ou d’adaptation (concentration des heures d’enseignement ressource, fermeture de classes spéciales, fin de la co-intervention externe, etc.). S’appuyant sur des observations en classe, des entretiens semi-directifs avec le personnel enseignant et la direction et des groupes de discussion réalisés avec l’équipe-école, cet article se penche ainsi sur le processus inclusif en l’analysant à partir des dix conditions de l’École inclusive (Tremblay, 2020).

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.571
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.003

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 head0.014
GPT teacher head0.356
Teacher spread0.342 · 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