L’instrumentation des tensions de gouvernance publique (TGP) : l’exemple des simplifications des indicateurs dans le système universitaire français1
Bibliographic record
Abstract
Après 7 à 8 ans de mise en oeuvre de gestion par les résultats dans les universités françaises, il est possible d’identifier certains écarts entre les finalités officielles des mesures de la performance et les pratiques réelles. Le cadre d’analyse de la « théorie de l’appropriation » identifie trois valeurs d’appropriation des outils de gestion. En étudiant les articulations entre ces valeurs, notre objectif de recherche vise à décrire les formes dynamiques d’appropriation des outils de gestion publique. Nos premiers résultats démontrent l’existence, dans les universités françaises, autour de ces valeurs d’appropriation, de simplifications des indicateurs de performance répondant à des tensions de gouvernance publique et décrivant au moins trois niveaux dynamiques d’appropriation de ces outils.
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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 | 0.011 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".