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Record W3172029502 · doi:10.7202/1077972ar

Les pratiques enseignantes pour soutenir les premiers apprentissages de la langue écrite à l’éducation préscolaire : entre l’approche développementale et l’approche scolarisante

2021· article· fr· W3172029502 on OpenAlexaffvenueabout
Krasimira Marinova, Christian Dumais, Mirela Moldoveanu, France Dubé, Roxane Drainville

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsUniversity of OttawaUniversité du Québec à Trois-RivièresUniversité du Québec à MontréalUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Dans le contexte où deux approches s’opposent dans les recherches et les pratiques à l’éducation préscolaire, il est pertinent de savoir si les pratiques enseignantes sont cohérentes avec les programmes ministériels prescrivant l’approche développementale ou privilégient plutôt l’approche scolarisante. Cet article présente les résultats d’une recherche exploratoire, quantitative, visant à documenter les choix pédagogiques dans l’éducation préscolaire au Québec. Un questionnaire a été administré auprès de 159 enseignantes. Il s’avère que la préférence des enseignantes pour l’apprentissage de la langue écrite penche légèrement pour des pratiques scolarisantes. La valeur qu’elles accordent au jeu augmente leur préférence pour les pratiques développementales. Les enseignantes en milieu socioéconomique défavorisé expriment une préférence plus marquée pour des pratiques développementales que celles en milieu favorisé.

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)0.013
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.007
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.002

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 head0.237
GPT teacher head0.437
Teacher spread0.200 · 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 designQualitative
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

Citations10
Published2021
Admission routes3
Has abstractyes

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Same venueMcGill Journal of Education / Revue des sciences de l éducation de McGillSame topicWriting and Handwriting EducationFrench-language works237,207