Evaluation of Safety and Health Performance on Construction Sites (Kuala Lumpur)
Bibliographic record
Abstract
Occupational safety and health Act (Act 514) obligate each employer to provide and maintain a safe and healthful workplace for all his employees. Construction is a risky business with a lot of injuries and illness, due to poor safety performances. The aim of the study is to investigate the safety and health performance of contractors on construction sites. A comparative and sensitivity analysis conducted reveal that as allocation to the construction increases so also the rate of accidents increases and that fatal accidents contribute more to the total accidents rates, as such there is need to assess the performance of contractors as regard to safety and health operation. The result of the SHASSIC score reveal that the sites consider for the study were 3 – star in ranking, were its risks/hazards activities are well managed and documented, but still there are other risks/hazards activities that are not taken care off due to negligent on the side of the contractors. The finding affirm the importance of safety program in construction site, as such to ensure successful implementation of the safety program, the following condition must be made; management commitment, safe work condition and safe work habit.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".