Analyse du travail répétitif dans le secteur agro-alimentaire : apport de la démarche ergonomique
Bibliographic record
Abstract
L'analyse du travail répétitif dans le secteur agro-alimentaire se fait dans le contexte de l'augmentation des problèmes musculo- squelettiques. L'approche de l'ergonome est abordée au travers d'études dans ce secteur, en particulier dans une usine de transformation de la volaille. L'intervention ergonomique axée sur l'amélioration des situations de travail nécessite l'implication et la participation des différents partenaires dans l'entreprise. L'analyse de l'activité de travail et l'implication des travailleurs dans l'interprétation des résultats fait ressortir la complexité du travail répétitif. La mise en valeur du savoir des travailleurs et la recherche d'une compréhension élargie du travail au-delà des aspects physiques apparaissent essentielles à la formulation de recommandations et à la revalorisation du métier.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 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".