Immigrant Men and Racism in Canada: Impacts on Well-being and Family Wellness
Bibliographic record
Abstract
Migration and resettlement can be fraught with stressful challenges, with individuals and families often encountering cultural and linguistic barriers, underemployment, credential discreditation, and discrimination. Insufficient attention is paid to how migration and resettlement impacts the well-being of racialized men specifically, and family wellness. Employing a feminist participatory action research approach (FPAR), a culturally diverse group of men and women (12) involved in a community-based violence prevention group convened three focus groups to explore how racialized immigrant men experience migration and resettlement in Canada, and the effects of this on personal and family wellness and domestic violence. Through an initial thematic analysis and a final focus group to verify the findings with all members of the group (23), the co-researchers identified three interconnected factors associated with the migratory and resettlement processes: migratory and resettlement stress; family wellness barriers; and resilience. Insights from Indigenous coresearchers drew parallels with experiences of racialization on colonized lands. The findings underscore racism as an overarching construct that impacted all factors and, in turn, affected individual and family wellness. Changes to policies and practices are recommended to address systemic discrimination, or 'racialized resettlement,' with anti-racism as a core frame to transform support systems extended to newcomers to Canada.
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 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 | 0.000 | 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".