Knowledge and Practice of Occupational Health Promotion among Nepalese School Teachers
Bibliographic record
Abstract
Occupational health (OH) is the area of public health that promotes and maintains workers’ highest degree of physical, mental, and social well-being in all occupations. WHO Promotes OH practices that include all three dimensions of health, including physical, mental, and social well-being. Promotive practice is any positive behavioral phenomenon that supports occupational workers, i.e., teachers, carpenters, garment factory workers, cashiers, salespeople, and farmers. To promote OH, there are positive practices of physical well-being, i.e., proper physical exercise, body movement, and a balanced diet. Mental well-being, i.e. yoga, meditation. Social well-being, i.e. social activity, community participation, social meetings, and participation in social functions or events in occupational settings. This study examines the knowledge and promotive practices of OH among secondary-level teachers in Tarkeshwor municipality. The descriptive cross-sectional study included 239 participants from government and private schools. Gender and the state of advertising practices are significantly correlated. Provide mentoring programs and peer support groups so that female educators who actively engage in promotional activities may guide and assist their male counterparts. For all instructors, this can contribute to the development of a welcoming and supportive culture for health promotion.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".