Qui sont les personnes étudiantes adultes à l’enseignement supérieur collégial québécois ?
Bibliographic record
Abstract
Cet article brosse un rare portrait de la population étudiante adulte (24 ans et plus) au collégial québécois à partir d’un échantillon de 1 073 personnes étudiantes. Ce portrait s’articule autour de différentes caractéristiques: le genre, la situation parentale, le lieu de naissance et le travail rémunéré pendant les études. Il fournit un éclairage sur les enjeux de l’intégration scolaire de cette population étudiante à son entrée au collégial. Les résultats mettent en exergue l’hétérogénéité des réalités des étudiants et étudiantes adultes et l’importance de leur offrir un meilleur soutien financier; tout en soulignant les difficultés exprimées sur le plan scolaire par les étudiantes, les parents étudiants et les personnes étudiantes issues de l’immigration.
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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 | 0.016 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| 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; 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".