Nouvelle gouvernance à l’hôpital : recomposition de l’organisation et gestion des ressources humaines
Bibliographic record
Abstract
La présente recherche de nature exploratoire vise à analyser le processus en cours de recomposition de la structure hospitalière et son impact sur la gestion des ressources humaines.Elle repose sur un dispositif de recherche, original, qui associe au sein du CHU d’Amiens- un praticien, cadre dirigeant, coordonnateur de pôle, chargé de concevoir et mettre en œuvre la politique ressources humaines,- un observatrice participante, affectée à temps complet au sein de la Direction des Affaires Générales, - un enseignant-chercheur, observateur non participant.La nouvelle gouvernance, liberté imposée, prolonge et réoriente les réformes hospitalières antérieures. Elle se traduit par le découpage de l’organisation en pôles mais ne s’y réduit pas. La déconcentration de la gestion des ressources humaines, dans une logique de contractualisation interne, suppose des choix, fait courir des risques et offre des opportunités aux acteurs du management hospitalier.
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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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".