La coopération syndicats-centres de recherche : mieux comprendre et maîtriser les mutations
Bibliographic record
Abstract
La période actuelle de changements techniques, économiques et sociaux impose à tous ceux qui sont engagés dans l’action un effort de compréhension et de maîtrise des mutations. La recherche a de son côté besoin de mieux observer et analyser l’évolution rapide de certaines réalités de terrain. La coopération syndicats-recherche semble alors de plus en plus utile au progrès de la connaissance. C’est pourquoi cette coopération commence à se développer dans plusieurs pays. Durables et structurées, des formes nouvelles de collaboration accompagnent aujourd’hui des formes plus connues. Le cas de la première convention de collaboration scientifique signée en France entre syndicats et recherche publique permet d’analyser les apports et les limites d’une recherche conjointe.
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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 | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".