Study on the Healthy Risk of the Workers: a survey in the Yangtse Rive Delta
Bibliographic record
Abstract
Problems of occupational health and safety in small and medium size enterprises are severe in China. With this paucity of official statistics documenting work-related injuries, the auther undertook a project in the Yangtse Rive Delta last year in the hopes of injecting at least some preliminary data into the public discourse. The epidemic of work-related injuries, and the failure of local business and govennnent to address it either through prevention or adequate compensation stems from two functional dimensions: the technical and the institutional. The technical level includes the physical causes of work-related injuries, which are not unique to the Yangtse Rive Delta. The institutional problems, on the other hand, are rooted in China's unique developmental history, politics and growth. These include the absence of legal aid institutions, poor government oversight and official corruption on the local and provincial levels. Key words: healthy risk, workers, survey Resume: Les problemes de sante et de securite professionnelles dans les petites et moyennes entreprises s’averent graves en Chine. Avec l’insuffisance de statistiques officielles documentant l’accident du travail, l’auteur a effectue l’annee derniere un projet dans le delta du Yangtse dans l’espoir d’injecter au moins des donnees preliminaires dans la conversation du public. L’augmentation des accidents du travail, l’echec des entreprises locales et du gouvernement a resoudre le probleme soit par la prevention soit par la compensation adequate sur les plans technique et institutionnel. Le niveau technique inclut les causes physiques de l’accident du travail qui n’est pas unique dans le delta du Yangtse. De l’autre cote, les problemes institutionnels s’enracinent dans l’unique histoire de developpement de la Chine, ses politiques et sa croissance, comme l’absence d’aide institutionnelle legale, la vue courte du gouvernement et la corruption des officiers a l’echelle locale et provinciale. Mots-Cles: risque de sante, travailleurs, enquete
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".