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Record W2536006727 · doi:10.7202/1036892ar

Analyse de l’implantation d’un programme d’accompagnement des enseignants pour favoriser l’inclusion des adolescents présentant des troubles du comportement

2016· article· fr· W2536006727 on OpenAlexaffvenue
Line Massé, Caroline Couture, Vanessa R. Levesque, Jean-Yves Bégin

Bibliographic record

VenueRevue des sciences de l éducation · 2016
Typearticle
Languagefr
FieldPsychology
TopicBehavioral and Psychological Studies
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Cet article présente les résultats d’une recherche portant sur l’évaluation d’un programme d’accompagnement collaboratif des enseignants du secondaire afin de faciliter l’inclusion scolaire d’élèves présentant des troubles du comportement, en particulier les perceptions des acteurs concernant les conditions d’efficacité du programme. Des entretiens semi-dirigés ont été réalisés auprès de 42 enseignants ayant été accompagnés, onze accompagnateurs et huit directions d’école. Selon l’analyse qualitative des résultats, le programme peut facilement être mis en place auprès des enseignants qui oeuvrent dans les écoles secondaires afin de faciliter l’intégration des élèves présentant des troubles du comportement. L’élément clé du programme semble être les activités de résolution de problème basées sur une évaluation fonctionnelle des comportements problématiques.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.545
GPT teacher head0.430
Teacher spread0.115 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations3
Published2016
Admission routes2
Has abstractyes

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