Risk Perception, Safety Behaviour, Employment Precarity and Community Attachment: The Case of Newfoundland and Labrador Fibreglass Boatbuilding Workers
Bibliographic record
Abstract
Fibreglass boat-building and repair plays an important economic and cultural role in Newfoundland and Labrador, and in many cases is one of the few viable businesses in economically depressed rural areas. However, the process of constructing and repairing fibreglass vessels requires the use of styrene, a known neurotoxin, excessive exposure to which can have negative impacts on physical and mental health. Based on the concerns of provincial health and safety regulators who have suggested that workers are not using their personal protective equipment, citing a lack of perceived health risk concerning styrene exposure, the purpose of this study was to assess the attitudinal, cognitive, organisational and economic factors that may have an impact on perceptions of risk and safety behaviours. Given that this industry has never been the subject of previous occupational safety and health inquiry into employee attitudes and behaviour, the research objectives were quite fundamental. Accordingly, an exploratory approach was taken to address the objectives of this study. Questionnaires were distributed to all fibreglass boat-building and repair plants operating in the province, resulting in an 80 per cent response rate (n = 43). Findings suggest that while workers do perceive health risks concerning styrene exposure, they appear to lack specific knowledge about the various types. It was also observed that workers have strong connections to their community, are worried about the viability of their communities, and have notable feelings concerning employment precarity, factors which may play a key role in the degree to which employees perceive risk and engage in safety behaviours. The implications of these findings are discussed, specifically those concerning the roles that social, cultural and economic factors may play in terms of perceptions of risk and safety behaviour.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".