L’éthique de la gestion : éléments de réflexion pour une distinction entre les organisations publiques et les organisations privées
Bibliographic record
Abstract
Dans cet article nous proposons une définition de l’éthique de la gestion et nous en identifions les conditions à travers une revue de la littérature. Nous postulons par la suite que l’éthique de la gestion diffère selon qu’il s’agit d’organisations publiques ou d’organisations privées. Nous montrons en effet que pour l’organisation privée, l’éthique est un engagement subjectif qui permet de pallier les lacunes d’une gestion instrumentale sans remettre en question les finalités premières de l’organisation. Tandis que pour l’organisation publique, l’éthique a une essence positive et se trouve orientée vers la recherche de compromis sur les finalités mêmes de l’organisation.
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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 | 0.031 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.006 | 0.053 |
| Scholarly communication | 0.016 | 0.027 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.007 | 0.012 |
| 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".