Occupational Health and Safety Assessment of the Industries in Bhutan: A Three Years’ Trend Analysis
Bibliographic record
Abstract
Introduction: Workplace plays an important role in the lives of not only workers but also their dependents and families. Therefore, it is very important to consider safety and health in every workplace. However, the health and safety standards in Bhutan is still at a premature stage. Objective: The objective of this study is to assess the overall occupational health and safety situation in the country to better understand the level of occupational safety and health standards in the country. Methods: All the enterprises in Bhutan, who had constituted a health and safety committee in 2016 to 2017 were considered. Structured questioners were used for assessing and evaluating the health and safety standards at the workplace. Results: The study found that the health and safety standards have improved however, improved marginally with the higher percentage of improvement falling in the fair practice of health and safety at their workplace. Conclusion: The Department of Labour plays a pivotal role in taking leadership and educating employers, employees, the general public on workplace safety and health. Therefore, it is important for the Department to rigorously enforce the safety and health standards in the companies. Further, the management of the companies also needs to ensure commitment and leadership for implementation of workplace safety and health.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".