La caractérisation et le management des déviances organisationnelles liées à la mise en oeuvre d’une démarche de performance publique : application au contexte public local français
Bibliographic record
Abstract
Bien que depuis plus d’une vingtaine d’années le management par la performance se soit très largement diffusé au sein des organisations publiques des pays occidentaux, force est de constater les difficultés d’implantation et d’institutionnalisation de ces pratiques. Cet article vise à étudier, sous l’angle théorique de la déviance et du changement organisationnel, les différentes difficultés et résistances rencontrées lors de la mise en oeuvre d’une démarche de changement, ainsi que les facteurs et processus permettant de limiter les blocages internes et organisationnels. Une étude de cas, conduite au sein d’un établissement public français, permet de caractériser et d’approfondir la dynamique des déviances organisationnelles publiques ainsi que les facteurs influençant celle-ci.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".