Régulation sociale et action collective pour l'emploi en France
Bibliographic record
Abstract
L'apparition récente, dans le paysage institutionnel français, d'accords d'entreprise sur l'emploi conduit l'analyste à s'interroger sur la nature du processus aboutissant à de tels compromis sociaux (s'agit-il d'un processus d'échange ?), sur les produits de cette activité (comment caractériser ce type d'accords collectifs ? Où réside la novation ?) et, enfin, sur le sens de ces compromis (en termes de légitimité comme en termes d'action collective pour l'emploi). En mobilisant une sociologie attentive aux processus, cet article explore cette nouvelle dynamique de négociation. On s'attachera à la comprendre comme une forme étendue de régulation conjointe, érigeant l'entreprise comme espace pertinent d'expérimentation de nouvelles pratiques contractuelles et dans laquelle le jeu et les arrangements des acteurs locaux occupent une place centrale.
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 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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".