The Changing Political Economy of Occupational Health and Safety in Fisheries: Lessons from Eastern Canada and South Africa
Bibliographic record
Abstract
Growing literatures on the political economy of occupational health and safety and on the political economy of contemporary fisheries need to be better integrated to help us see how neoliberal globalization and overfishing are interacting with gender, race and class relations in regional fish harvesting and processing workplaces to affect occupational health risks and the consequences. This contribution uses findings from occupational allergy and asthma (OAA) research among seafood processing workers in Eastern Canada and the west coast of South Africa to enhance our understanding of the political economy of occupational health and safety concerns in contemporary fisheries. Expanding features of global fisheries, mediated by regional histories, are changing the vulnerabilities of processing workers to OAA by influencing production volumes and products; local, regional and international divisions of labour; employment precariousness and access to prevention, health and compensation services. Affected workers' common perception that they must choose between their livelihoods and their health is to some degree a reality in these fisheries.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".