Les interventions issues de la collaboration école-communauté dans quatre territoires montréalais pluriethniques et défavorisés
Bibliographic record
Abstract
Cet article décrit les interventions issues de la collaboration école-communauté, en contexte montréalais pluriethnique et socio-économiquement défavorisé, en vertu de leurs domaines d’activités, des objectifs qu’elles poursuivent, des populations visées et des stratégies déployées. Les interventions sont comparées pour les deux ordres d’enseignement. La composition des réseaux d’acteurs de même que les structures et la dynamique collaboratives à la base des interventions sont aussi décrites. L’article discute de la correspondance entre ces interventions et les orientations des politiques publiques en éducation et en santé en vertu desquelles elles sont déployées. Enfin, il interpelle les acteurs quant aux potentialités et limites de ce type d’interventions comme stratégie de soutien à la réussite éducative en contexte pluriethnique et défavorisé.
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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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".