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Record W3045975921 · doi:10.7202/1070387ar

Récits de la mise en oeuvre de modèles de réponse à l’intervention inspirée d’un modèle d’accompagnement systémique du développement pédagogique et organisationnel

2020· article· fr· W3045975921 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnfance en difficulté · 2020
Typearticle
Languagefr
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsCommission Scolaire des Hautes RivièresUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Au cours des dernières années, deux commissions scolaires de la Montérégie, au Québec, ont amorcé la mise en oeuvre d’un modèle de réponse à l’intervention (RàI) pour l’apprentissage du langage oral et écrit, au préscolaire et au premier cycle du primaire, en s’inspirant d’un modèle d’accompagnement systémique du développement pédagogique et organisationnel (Guay et Gagnon, 2020a). Dans cet article, nous présentons les récits de ces deux expériences de mises en oeuvre en détaillant des outils et des dispositifs élaborés pour les appuyer. Nous faisons également état de bons coups et d’obstacles rencontrés. Ces récits visent à guider les équipes de leaders chargées de soutenir le déploiement d’un modèle de réponse à l’intervention dans une organisation scolaire.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.036
GPT teacher head0.369
Teacher spread0.333 · 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