Opportunities for the Development of Safety and Health Protection Systems in the Small and Medium Enterprise (SMEs) Sector
Bibliographic record
Abstract
The Occupational Health and Safety Program (OHS) is a method attempting to lower the risk of accidents and occupational diseases.The OHS is aimed at reducing the risks of occupational diseases and accidents in the small and medium-enterprises (SME) sector.This study aims to see the gaps in OHS that only focused on medium-sized industries so that the SME sector does not experience the effects of OHS.In-depth and systematic literature reviews were conducted, and the classification of the disaster type and its object from those sources was performed.The results show that there are gaps in the OHS, which can be seen both from the mitigation and identification methods used, which open up opportunities for further research, especially in the development of new investigative methods, as well as to improve the design of protection systems.The findings of this study will be the latest research based on perspectives in the global scope by looking at the relevant perspectives that have been run and compared systematically to be able to create opportunities for the updating of the risk mitigation process OHS in SME industrial sector.
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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 | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".