Un modèle de production et une méthode d’analyse des coûts de l’enseignement universitaire
Bibliographic record
Abstract
La thèse avancée dans cet essai est qu’il est possible et nécessaire d’analyser de façon détaillée et cohérente les dépenses des universités. Une telle analyse devrait se fonder sur un modèle de production. Dans le modèle proposé ici, la production résulte du fonctionnement coordonné de multiples activités. La structure de ces activités fonctionnelles s’incarne dans l’organisation administrative et se reflète dans le plan comptable du formulaire financier de fonctionnement de la D.G.E.S. Cette banque de données, si on lui adjoignait un logiciel approprié, constituerait dès maintenant un outil opérationnel d’analyse des coûts, en attendant qu’on construise le modèle.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".