Des enseignants en milieu minoritaire francophone améliorent leur enseignement pour la réussite en littératie
Bibliographic record
Abstract
Ce texte vise à comprendre les liens entre l’implantation de dispositifs pédagogique liés à l’observation et l’’analyse des données d'apprentissage réalisée en communauté d'apprentissage professionnelle (CAP) sur la progression des apprentissages en littératie d’élèves de huit écoles d’un milieu minoritaire francophone. Le protocole de recherche de type longitudinal sur une période de trois ans documente l’évolution des apprentissages en lecture et en écriture des élèves qui réussissent et ceux à risque. L’analyse des résultats montre que les élèves à risque et non à risque obtiennent des progrès significatifs dans les rendements en lecture et que le lien étroit entre la progression de ces apprentissages et le travail en CAP conjugué à aux meilleures pratiques en enseignement de la littératie.
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 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 | 0.012 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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.
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".