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 roman Catch 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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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".