Éveil à la lecture et à l’écriture dans les services de garde en milieu scolaire : engagement et ouverture face aux livres
Bibliographic record
Abstract
Le présent article traite de l’éveil à la lecture et à l’écriture (ÉLÉ). À travers un programme d’ÉLÉ dans les services de garde en milieu scolaire (SGMS) conçu et expérimenté pendant une année auprès d’enfants de maternelle, cette recherche consiste à présenter les résultats des effets de ce programme quant à l’engagement et à l’ouverture que les enfants manifestent lors de l’activité d’éveil. Plus spécifiquement, nous comparons des groupes de milieux défavorisés et favorisés à l’entrée en classe maternelle et à la fin de l’année scolaire. Certains enfants ayant été exposés aux activités du programme ÉLÉ-SGMS et d’autres non (N total = 556). Les analyses quantitatives effectuées permettent de penser que le programme d’ÉLÉ a eu des effets significatifs sur l’engagement et l’ouverture face aux livres auprès de la population exposée au programme par rapport à celle non exposée.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".