Trajectoire organisationnelle et pouvoir - Étude d’un cas d’ingénierie de formation universitaire
Bibliographic record
Abstract
Nous étudions dans ce texte la relation entre pouvoir et communication dans une logique processuelle à travers l’analyse d’un cas de développement de formations universitaires que nous avons suivi pendant sept ans. Notre terrain se construit autour de projets de développement de l’offre de formation d’une université française à la faveur de la loi relative aux libertés et responsabilités des universités (LRU), réforme nationale de réorganisation de l’Université française qui vise l’autonomie de ses constituantes. Nous développons l’idée que le pouvoir n’est pas institutionnel ou structurel mais évolue en fonction d’une trajectoire organisationnelle dont les évènements permettent l’assouplissement des contraintes normatives et le développement d’un pouvoir lié à la capacité de faire sens des nouvelles possibilités contextuelles.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".