La recherche comparative en relations industrielles: l'apport de la tradition ethnographique
Bibliographic record
Abstract
La recherche comparative en relations industrielles bénéficie actuellement d'un regain d'intérêt. Un des thèmes majeurs est la génération du consentement au sein de l'atelier. Il existe déjà une tradition de recherche bien établie sur ce thème, mais son apport n'a reçu que peu d'attention jusqu'ici. L'article expose les grandes lignes de cette tradition ethnographique, mettant ses forces en relief. Il existe aussi des points faibles, notamment en ce qui a trait à la généralisation des résultats. Après évaluation, ces limites paraissent moins définitives que ne le suggèrent certaines critiques. Des exemples de l'application de cette approche à l'étude comparative sont présentés, et un programme de recherche est avancé.
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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 | 0.024 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.010 | 0.029 |
| Scholarly communication | 0.014 | 0.016 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".