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Record W2795578642 · doi:10.3917/rief.042.0041

Programme école-famille axé sur la littérature jeunesse à la maternelle

2018· article· fr· W2795578642 on OpenAlexaffabout
Monica Boudreau, Isabelle Beaudoin, Julie Mélançon

Bibliographic record

VenueLa revue internationale de l éducation familiale · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsHumanitiesSociologyPsychologyArt

Abstract

fetched live from OpenAlex

Cet article présente un programme intitulé Les mille et un plaisirs de lire avec toi qui a été offert à 59 parents et six enseignantes de maternelle 5 ans du Québec. Ce programme, qui avait notamment pour but de développer les compétences langagières et sociales des enfants, assurait le lien entre l’école et la famille par l’entremise de trousses littéraires qui circulaient dans les maisons. Des ateliers de formation étaient offerts aux parents et aux enseignantes afin d’assurer une cohérence entre leurs pratiques de lecture. Le principal objectif de la recherche était d’évaluer l’effet du programme sur la qualité des interventions des parents lors de la lecture interactive d’albums à leur enfant. Cet article explique la recherche quasi expérimentale à laquelle ont pris part les parents et les enseignantes et rapporte les résultats révélant que le programme a contribué à les sensibiliser à l’importance de susciter des interactions de qualité lors de la lecture interactive.

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)0.006
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.002

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 head0.044
GPT teacher head0.333
Teacher spread0.289 · 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

Citations3
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueLa revue internationale de l éducation familialeSame topicFrench Language Learning MethodsFrench-language works237,207