Le paradoxe de la qualité académique : implications pour les universités et les politiques publiques
Bibliographic record
Abstract
Cet article traite de mécanismes d’assurance de la qualité dans le système d’enseignement supérieur et propose une interprétation du peu d’engagement des professeurs dans les processus d’analyse de la qualité des cursus universitaires et de l’expérience d’apprentissage des étudiants. L’institution universitaire valorise les performances individuelles en enseignement et en recherche et non les efforts coopératifs des départements universitaires pour assurer la qualité de l’offre de formation. C’est donc un paradoxe de la qualité académique que l’on compare à celui du célèbre romanCatch 22. À la suite des évaluations des mécanismes d’assurance de la qualité et pour résoudre le paradoxe de la qualité académique, on propose une démarche basée sur les principes de l’organisation apprenante.
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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 | 0.041 | 0.068 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".