Organisation communautaire et abandon scolaire : illustration d’un champ d’intervention
Bibliographic record
Abstract
L’abandon scolaire est aujourd’hui au centre des préoccupations d’une diversité d’acteurs québécois. C’est pour enrichir les connaissances en organisation communautaire que cet article propose d’illustrer les dimensions incontournables d’un champ d’intervention qui a pour préoccupations centrales l’abandon et la persévérance scolaires. Parmi les sujets traités, il sera question du contexte historique de la prévention de l’abandon scolaire, de la pertinence de l’organisation communautaire pour faire face à ce problème social, des connaissances scientifiques utiles ainsi que des différentes catégories d’intervenants agissant dans ce domaine en effervescence. Enfin, seront exposés les principes d’intervention locale et régionale du Conseil régional de prévention de l’abandon scolaire du Saguenay–Lac-Saint-Jean (CRÉPAS).
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".