Le raccrochage scolaire au Québec : le discours de jeunes adultes québécois inscrits en Centres d'Éducation aux Adultes
Bibliographic record
Abstract
Nous exposons les résultats obtenus à partir d'entretiens semi-directifs réalisés auprès de 77 jeunes âgés de 18 à 26 ans ayant choisi de « raccrocher » (N = 39) ou de poursuivre leur scolarité (N = 38) dans un Centre d'Éducation aux Adultes (CEA). L'analyse de contenu de leurs propos met en lumière les points positifs et négatifs que ces adultes émergents relèvent quant à leur expérience au sein de ces centres. Les jeunes « raccrocheurs » disent rencontrer plus de difficultés, comparativement à ceux qui ont directement intégré un CEA. Nous discutons des perspectives d'intervention qui en découlent.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; a candidate call from one teacher head, 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".