Bibliographic record
Abstract
Previous discourses in occupational health and medicine suggest that newcomer and immigrant groups experience high rates of work-related illness and injuries, possibly resulting from working conditions, social exclusion, as well as participation in precarious work. Often, social circumstances lead to adverse health outcomes including mental, psycho-social, and physiological. This investigation's aim was to gather a rich understanding of the evidence for work-related illness, morbidity and mortality among immigrant and newcomer groups from urban areas such as Montreal, Toronto, and the Greater Toronto Area, locations which have been popular destinations for migrant settlement and labor market trends in the last two decades. This study focused on elements from the political economy, social determinants of health, and social justice lenses to examine the concept of the new visible minority labor diaspora in the Canadian context, evidence for occupational disease acquired in the workplace among these vulnerable groups, and how such illness intersects culture, employment background, and gender. Evidence of income disparities from the literature was compared to Statistics Canada 2006 census data and adjusted for inflation. This analysis confirmed the negative effects of resettlement stress and precarious working conditions experienced by ethnic and racial minorities. Work-related musculoskeletal conditions, workplace violence, mental health issues due to overt discrimination and profiling, as well as exposures to second hand-tobacco smoke have been described. In addition, large disparities in earnings were widely reported. The implications of these findings has led to suggested interventions to address these issues.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".