“I don't have the energy”: Racial stress, young Black motherhood, and Canadian social policies
Bibliographic record
Abstract
Significant socio-economic, health, and mental health disparities due to highly entrenched and systemic anti-Black racism in Canadian institutions, policies, and practices are now well documented in research and policy reports. Yet, few in-depth studies have addressed the mental health impacts of anti-Black racism on Canadian populations. This article is rooted in a community-based, qualitative research project with young first and second-generation Black Caribbean-Canadian mothers and is informed by Black Feminist epistemologies and intersectional theories and methodologies. Our research demonstrates how participants' childhood experiences with xenophobic and racist immigration policies and educational, child welfare, and childcare systems caused their future mental health challenges as young Black mothers, and how these struggles were exacerbated by their encounters with the racist, ageist, xenophobic medical, social, and mental health services they had to access as young mothers. Based on these findings, we recommend enhancements to current social policies to minimize the differential mental health impacts on young Black Canadian mothers.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.025 | 0.018 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".