Forestry workers’ perceptions on occupational safety: a comparative study of British Columbia and South Korea
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Forestry remains one of the most hazardous industries, with significant risks of injuries and fatalities. This study compared the safety perceptions of forestry workers in British Columbia, Canada, and South Korea, two regions that practice sustainable forest management but differ in timber production methods and safety management experiences. The aim was to explore opportunities for region-specific safety management improvements in this critical sector. A total of 158 responses were analyzed, with 64 from British Columbia and 94 from South Korea. Participants rated their safety perceptions on a 5-point Likert scale, and an independent samples t-test assessed statistical differences. Both groups prioritized personal and coworker safety, valuing a safety-first culture over strict regulatory compliance. South Korean respondents preferred online training methods, while British Columbia respondents favored practical, on-site support. Both groups recognized the importance of mandatory certification for tree fallers, with British Columbia respondents additionally supporting regular refresher training. While British Columbia respondents prioritized expanding heavy machinery use to reduce accidents, South Korean respondents emphasized broader investments in safety measures. Both groups also favored incentive-based safety programs over penalties. Based on these insights, this study proposes region-specific strategies using the 4E framework. This study identified similarities and differences in forestry workers’ perceptions based on regional forestry conditions and proposed effective, tailored safety management strategies for each region accordingly.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it