Le comportement du dirigeant de PME français face au seuil des 50 salariés1
Bibliographic record
Abstract
Cet article examine l’impact des seuils sociaux sur l’intention de croissance et les comportements des dirigeants de PME français. Pour les organisations patronales, ces seuils, notamment celui des 50, sont un frein à l’intention de croître des dirigeants et expliquent, en grande partie, le déficit du nombre d’entreprises de taille intermédiaire (ETI) sur le territoire. La problématique des effets de seuils et de son incidence sur la croissance n’a, jusqu’à présent, pas constitué un objet de recherche en soi. Une étude qualitative est menée pour analyser en profondeur l’impact du seuil des 50 salariés sur les intentions et comportements des dirigeants. Dans un premier temps descriptif, les intentions et comportements adoptés et projetés face aux seuils sont identifiés. Puis, dans une logique analytique, les facteurs inhibant et facilitant le franchissement des seuils sont examinés.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".