Territorialité, mobilisation des acteurs et persévérance scolaire : le cas du Conseil régional de prévention de l’abandon scolaire au Saguenay–Lac-Saint-Jean
Bibliographic record
Abstract
Le présent texte vise à exposer, à l’aide d’analyses rétrospectives, les principales composantes du modèle mis en place au Saguenay–Lac-Saint-Jean (SLSJ) pour prévenir l’abandon scolaire. Amorcé en 1996, ce projet novateur repose sur le rapprochement de deux réalités : l’éducation et le territoire. Après avoir rappelé le contexte de départ et les idées fondatrices, les auteurs discutent d’abord des conditions d’émergence du Conseil régional de prévention de l’abandon scolaire (CRÉPAS), lesquelles ont jalonné un partenariat entre la société civile et l’État. Les pratiques s’inscrivent dans la logique de l’action communautaire et de la recherche-action, alors que le territoire sert d’ancrage à la mobilisation régionale et locale. Les auteurs font ensuite part des principaux indicateurs en matière de persévérance scolaire, de santé et de bien-être qui témoignent de changements survenus chez l’ensemble des jeunes de cette région.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".