L'impact de la fréquentation préscolaire sur la préparation scolaire des enfants à risque de manifester des problèmes de comportement et d'apprentissage à l'école
Bibliographic record
Abstract
Cet article porte sur l'évaluation de programmes éducatifs préscolaires dont l'objectif est de favoriser le succès scolaire et social des enfants issus de milieux défavorisés. À cette fin, les auteurs décrivent l'évolution d'enfants qui ont participé à de tels programmes, identifient les facteurs associés au succès scolaire relatifs aux compétences cognitives et socioaffectives; ils comparent à la fin de la maternelle le succès scolaire d'enfants qui ont bénéficié d'un programme d'éducation préscolaire intensif précoce à celui d'enfants qui ont uniquement reçu un service tardif à temps plein. Les variables considérées sont le groupe d'appartenance sexuelle, l'âge et l'évolution (prétest/post-test). Les conclusions concernent surtout la durée que devrait avoir un tel programme pour donner les résultats escomptés.
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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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".