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Record W2028360596 · doi:10.7202/1028011ar

Élèves en troubles du comportement et climat de classe : comparaison entre deux environnements éducatifs

2015· article· fr· W2028360596 on OpenAlexaffvenueabout
Nadia Desbiens, Caroline Levasseur, Normand Roy

Bibliographic record

VenueEnfance en difficulté · 2015
Typearticle
Languagefr
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

Cette étude compare l’évolution au cours d’une année scolaire de la perception du climat de classe selon 212 élèves québécois du troisième cycle du primaire (5eannée) fréquentant, soit des classes spéciales pour élèves avec troubles du comportement, soit des classes ordinaires. L’étude s’intéresse plus spécifiquement au climat relationnel et au climat éducatif, ainsi qu’aux pratiques éducatives et à la prévalence de comportements inadaptés. Les résultats montrent que les élèves du primaire perçoivent un meilleur climat en classe ordinaire, et ce, malgré la dégradation en cours d’année de plusieurs des dimensions étudiées, notamment sur le plan de la relation avec l’enseignante et de leur compréhension des règles de vie en classe, alors que les élèves fréquentant les classes spéciales perçoivent plutôt une amélioration pour ces mêmes dimensions. Les résultats de l’étude sont discutés dans la perspective de l’évolution des besoins des préadolescents et l’encadrement des élèves présentant des troubles du comportement.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.698

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.365
Teacher spread0.326 · 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 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

Citations5
Published2015
Admission routes3
Has abstractyes

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