Persistence and Academic Success in University
Bibliographic record
Abstract
Dans cet article, nous examinons, à l’aide d’un ensemble de données couplées, les déterminants de la persévérance et de la réussite scolaires à l’université. Parmi ces déterminants, les notes obtenues au secondaire jouent un rôle nettement plus importants que la nature du programme universitaire, le sexe, l’entourage et les caractéristiques de l’école secondaire fréquentée. Le revenu moyen dans l’entourage et le classement de l’école secondaire fréquentée à des tests standardisés ont ainsi peu de liens avec la réussite à l’université. Ces résultats soulèvent des questions intéressantes sur ce qui permettrait d’expliquer la variation des notes à l’école secondaire et sur la combinaison de facteurs – liés à l’individu, à la famille et à l’école secondaire fréquentée – qui influe sur les résultats à l’université.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".