30. L’Accès et la Réussite au Postsecondaire pour les Étudiants Issus de Groupes Sous-Représentés : Un Défi Collectif
Bibliographic record
Abstract
Le présent article présente les domaines d’intervention et des programmes canadiens qui ont pour objectif l’amélioration de l’accès et la persévérance des étudiants des groupes sous-représentés (notamment les étudiants autochtones, ceux provenant de familles à faible revenu et les étudiants de première génération) dans les études postsecondaires. Suivant des recherches financées par la Fondation Canadienne des Bourses d’Études du Millénaire, les auteurs proposent une approche holistique pour aider ces étudiants à surmonter les nombreux obstacles auxquels ils font face à divers moment de leur vie étudiante.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".