Responsiveness of Occupational Health Risk and Preventive Measures Practice by the Workers Employed in Tannery Occupation in Kanpur, India
Bibliographic record
Abstract
Occupational health covers all aspects of health and safety in the workplace and has a strong focus on primary prevention of hazards. The objective of the study was to understand the extent of awareness about occupational health risks involved in tannery occupation and adopted preventive measures by the tannery workers of Kanpur, India. Information for the present research was strained from a cross-sectional household study of tannery workers in the Jajmau area of Kanpur. The survey was piloted through the period January–June 2015, and 284 samples were collected. The prevalence of awareness of tannery work is very hazardous in nature varies from 73–93% among the tannery workers. Tannery workers having a middle-school level of education were 3.01 times more likely to be aware of the hazards as compared to the illiterate workers. Tannery workers aged 36 and above were less likely to aware of a hazardous work environment. Further, tannery workers who belong to the younger cohort (16–24 years) reported a higher awareness of respiratory problems (38%), skin complaints (59%), and gastrointestinal issues (21%) than those aged 36 years and above. About one-third of Beam house workers (33%) and over a quarter (26%) of the wet finishing had moderate to high dermal contact with the chemicals. The study’s outcomes give a clear indication of the effect of the workstation environment on the health status of workers and require the use of adequate measures to improve the facilities and thereby the health status of tannery workers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".