Une évaluation participative confirme la pertinence sociale d’un modèle d’intervention communautaire en réussite scolaire
Bibliographic record
Abstract
Cette étude de cas porte sur l’évaluation participative d’une intervention d’accompagnement scolaire à base communautaire dont le but est de favoriser la réussite scolaire en milieux montréalais socio-économiquement défavorisés. L’évaluation a été réalisée en collaboration étroite avec les acteurs de l’intervention. Elle compare les processus et les effets de l’intervention à base communautaire avec les interventions institutionnelles usuelles et montre les attributs innovants de l’intervention à base communautaire et son effet de protection auprès des enfants évoluant dans des conditions psychosociales adverses. Le partage de ces résultats motive la stabilisation du partenariat école—communauté à la base de l’intervention et la récurrence de son financement, et suscite la mobilisation de nouveaux partenariats sociaux.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".