The effects of stakeholder presence in French non-profit organizations’ reports on governance and accountability
Bibliographic record
Abstract
La prise en compte des parties prenantes par les associations est congruente avec leur gouvernance et leur mission. De ce fait, ses effets positifs sur la performance sont bien connus mais ceux sur la divulgation des mécanismes de gouvernance mis en place et sur la reddition des comptes sont moins connus. Cette recherche, grâce à l’analyse des rapports proposés par les plus grandes associations françaises, met en évidence les contributions de chacune des catégories de parties prenantes. La présence des bénéficiaires est cruciale, et celle des dirigeants a des effets plus surprenants. Plusieurs perspectives théoriques s’ouvrent ainsi autour de la théorie des parties prenantes. L’approche instrumentale, centrée sur les contributions des parties prenantes, est à préférer à l’approche normative, qui considère que toutes les parties prenantes doivent être intégrées dans la gestion des associations.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; both teacher heads agree on what is shown here.
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".