Black African Migrant Parents in Ontario
Bibliographic record
Abstract
This thesis investigates the psychosocial well-being of Black African migrant parents in Ontario, focusing on underrepresented groups from Nigeria, Uganda, and Sudan living in mid-sized cities like Hamilton. Through a scoping review and a qualitative study, the research examines the impact of transnational family separation and other systemic stressors on their health perceptions and parenting strategies. By applying frameworks, such as feminist and anti-racist, social determinants of health, and psychosocial (daily stressors), this work challenges deficit narratives, highlighting the resilience and agency of Black African migrant parents while informing more inclusive policies and services. The findings highlight the structural determinants of health, such as immigration policies that exacerbate stigma and limit service access, disproportionately affecting women, refugees, and international students. Despite these challenges, parents display resilience by leveraging informal networks and cultural resources to navigate systemic discrimination and economic insecurity. Policy recommendations call for co-designed, culturally relevant resources in mental health, maternal care, and senior services. Addressing food insecurity with culturally appropriate solutions and easing employment barriers for internationally trained professionals is essential. Future studies should explore chronic health conditions, the psychosocial drivers of return migration, and the long-term impacts of family separation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".