A Study on Current Status: Asbestos Mining and Health Related Problems in India
Bibliographic record
Abstract
Asbestos use was in existence all over the world, though its health impacts are more as per the occupational health and safety concern brought a ban by many countries. Asian countries like India, China are the major consumption of asbestos due to its affordability, availability and wide use. In recent year’s substantial quantity of asbestos are imported from Canada. The quality of asbestos produced in India is poor. Significant occupational exposure to asbestos occurs in cement industry, textile and mining and milling industries which leads to hazardous diseases. The permissible exposure limits are drawn and it has been noted that even low levels of exposure lead to asbestos related disease. So there is no safe use of asbestos and no safe exposure limits set by WHO, ILO, OSHA. Due to poor occupational setup these asbestos related diseases like pulmonary fibrosis, malignancies are in the rise and are expected to be high. This leads to a major occupational and public health concern.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".