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Record W3040717904 · doi:10.7202/1070386ar

Un modèle de réponse à l’intervention (RàI) comportementale : le soutien au comportement positif (SCP)

2020· article· fr· W3040717904 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 · 2020
Typearticle
Languagefr
FieldPsychology
TopicBehavioral and Psychological Studies
Canadian institutionsUniversité LavalUniversité du Québec en OutaouaisUniversité TÉLUQ
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

De nombreux systèmes éducatifs ont amorcé, au cours des dernières années, un virage important vers une gestion axée sur les résultats (Bourgault, 2004). Or, ce type de gestion nous amène à poser un regard sur la réussite des élèves ayant des difficultés comportementales, car ce sont eux les plus susceptibles d’abandonner l’école (MELS, 2006). Par conséquent, il devient essentiel d’implanter des systèmes d’intervention, fondés sur des données probantes, favorisant la prévention de ces difficultés. Le système Positive Behavioural Interventions and Supports (PBIS) est fondé sur des données probantes (Lapointe et Freiberg, 2006). Le PBIS, appelé en français le soutien au comportement positif (SCP), représente un modèle de réponse à l’intervention comportementale. Dans cet article, nous décrivons le SCP. Par la suite, nous montrons ses effets sur la diminution des écarts de conduite majeurs des élèves à l’intérieur d’écoles québécoises contribuant ainsi à la prévention des difficultés comportementales.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.121
GPT teacher head0.354
Teacher spread0.233 · 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