Des actions concrètes pour soutenir les apprentissages en littératie en milieu rural grâce au partenariat école-famille-communauté
Bibliographic record
Abstract
Le partenariat entre l’école, la famille et la communauté (ÉFC) est particulièrement important dans les collectivités rurales (Casto, 2016). La structure partenariale l’AGIR, qui intervient dans cinq municipalités rurales, met en œuvre plusieurs actions concrètes pour favoriser la réussite éducative des jeunes (AGIR, 2021), notamment pour soutenir les apprentissages en littératie. Dans cet article, la structure de l’AGIR sera décrite de façon explicite et chacune des initiatives visant à soutenir les apprentissages en littératie sera présentée plus en détail. Des retombées observées auprès des jeunes, des familles, des écoles et de la communauté seront également exposées.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".