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Record W3024198837 · doi:10.7202/1069766ar

DISPOSITIFS DÉCLARÉS D’ENSEIGNEMENT DE LA LECTURE AU MOYEN DE LA LITTÉRATURE DE JEUNESSE EN CONTEXTE D’INCLUSION PÉDAGOGIQUE D’ÉLÈVES HDAA DU PREMIER CYCLE DU PRIMAIRE

2020· article· fr· W3024198837 on OpenAlex
Judith Beaulieu, Marilyn Dupuis-Brouillette, François Bowen, Caroline Levasseur, Isabelle Montésinos‐Gelet, Marie Dupin de Saint-André

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

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsUniversité de MontréalUniversité de SherbrookeUniversité LavalUniversité du Québec en Outaouais
Fundersnot available
KeywordsHumanitiesInclusion (mineral)Context (archaeology)PsychologyPedagogyArtGeographySocial psychology

Abstract

fetched live from OpenAlex

Les recherches en lien avec l’enseignement avec la littérature de jeunesse auprès des élèves HDAA ont été réalisées en contexte de classes spéciales. Aucune d’entre elles ne s’intéressaient au contexte d’inclusion d’élèves HDAA dans des classes régulières, ni à décrire les liens entre, d’une part, le type et l’ampleur des dispositifs didactiques d’enseignement avec la littérature de jeunesse et, d’autre part, le nombre d’élèves HDAA inclus dans la classe. Il s’agit de l’objet de ce texte. Le devis est descriptif. Les résultats montrent des différences en fonction de la quantité d’élèves HDAA inclus.USE OF READING INSTRUCTION METHODS INCORPORATING CHILDREN’S LITERATURE IN INCLUSIVE EDUCATION CONTEXTS WITH ELEMENTARY CYCLE ONE HSMLD STUDENTSStudies on the use of children’s literature to teach students with handicaps, social maladjustments, or learning disabilities (HSMLD) have been conducted in the context of special education classes. Yet, none have explored the context of regular classrooms integrating students with HSMLD, nor described the links between the type and extent of pedagogical methods that incorporate children’s literature used to teach and the number of students with HSMLD included in the classroom. This article contributes to remedying this gap. Our methodological approach is descriptive. Results indicate differences in relation to the number of students with HSMLD included in the classroom.

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)0.012
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0080.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.373
Teacher spread0.312 · 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