La « théorie » de la régulation, du rapport salarial au rapport de consommation. Un point de vue sociologique
Bibliographic record
Abstract
La notion de rapport salarial est centrale pour la compréhension des modèles de sociétés et d’entreprises. Elle comporte cependant des limites car elle est trop englobante. Il est suggéré dans un premier temps de distinguer, au sein de ce rapport, deux dimensions : l’organisation (division-coordination du travail) et l’institution (compromis social), puis de compléter l’approche de la régulation en ajoutant un rapport de consommation qui permet de saisir la relation entre les citoyens-usagers-consommateurs et les entreprises ou agences étatiques. Enfin, une réflexion sur le rapport entre structure et acteurs montre que les notions de reproduction et de régulation ne sauraient être confondues.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.033 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| 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".