Environmental Factor, Education & Training and PPE Impact on Safety Performance: A Study Among Construction Workers at SESCO Sub-station, Balingian, Sarawak
Bibliographic record
Abstract
Safety and health at workplace is an emergent concern in almost all parts of the world including developing countries such as Malaysia. Construction industry is one of the most hazardous industries with regard to work-related injury and fatality rates. Impact on the company would include loss working hours of injured employee, cost of repair and replacement of property and damages as well as increment in insurance premium. The purpose of the study is intended to examine the relationship between factors with safety performance at construction sites. This study investigates whether factors such as working environment, education & training, PPE and weather have any influence on safety performance. The study was conducted among construction workers at Sesco Sub-Station, Balingian, and Sarawak. A set of validated questionnaires were distributed to 100 construction workers. Data were examined based on 95 returned questionnaires (respond rate 95%). Data were analyzed with SPSS version 22 using descriptive and inferential statistics. Pearson’s correlation coefficient was used to measure the strength of relationship between independent and dependent variables. It was concluded that the most important factor affecting safety performance of the construction workers at SESCO Sub-Station, Balingian, and Sarawak is PPE.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".