Mapping the Maritime Occupational Health and Safety Challenges Faced by Canadian Seafarers
Why this work is in the frame
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Bibliographic record
Abstract
This chapter explores the occupational health and safety challenges faced by Canadian seafarers. Maritime occupations continue to be among the most dangerous occupations in the world. Technological development and climate change, as well as the increasing level of Arctic shipping opening driven by oceanographic changes together with technological innovation, lead to significant health and safety challenges for mariners in Canada. Drawing on findings from two research projects on seafaring occupational health and safety (OHS), including qualitative semi-structured interviews with 25 Canadian seafarers and a preliminary legal review of Canadian maritime OHS law, this chapter presents some common OHS challenges confronted by Canadian seafarers and the gaps existing in the current Canadian maritime OHS law. These challenges include increasing Arctic shipping activities led by the climate change, intensified work-related mobility, and insufficient legal protection.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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