Return to Work After Injuries: Legal Challenges for Seafarers in Canada
Bibliographic record
Abstract
Return to work (RTW) after injury requires strong stakeholder coordination. Seafaring work is associated with high injury rates, but seafarers’ RTW is understudied. As federally regulated workers, Canadian seafarers are protected by the Canadian Human Rights Act, which prohibits discrimination based on disability. Following a work-related injury or illness, seafarers are eligible for provincial workers’ compensation benefits and RTW; however, RTW is also subject to federal regulations, including the requirement to have a valid marine medical certificate (MMC). This complex regulatory landscape may negatively influence seafarer RTW. Drawing upon a sociolegal study, we find that MMC-related human rights complaints against the federal government highlight the legal challenges seafarers face in the RTW process. Interview findings suggest that to ensure a valid MMC and employment eligibility, injured seafarers might avoid filing compensation claims or RTW before recovery. We recommend the federal-provincial agencies adopt more efficient coordination policies to support seafarers’ RTW.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.028 | 0.006 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".