Racialized-gendered Experiences and Mental Health Vulnerabilities of Young Asian Women in Toronto, Canada
Bibliographic record
Abstract
Discourses of mental health vulnerabilities of women in the Asian diaspora s are often invoked through the concepts of “culture” with little consideration of asymmetric power relations and structural influences. We used a narrative approach to explore the experiences and perspectives on culture, identities, relationships, and mental health among young Asian women living in Toronto, Canada. We engaged 14 participants in focus groups and individual interviews, and identified four overall themes: (1) racialized-gendered bodily abjection, (2) experiences of enacted racism and sexism, (3) perceptions of familial expectations, and (4) their strategies of coping and resilience. Our analysis revealed how Whiteness and structural violence shape the racialized-gendered experiences of young Asian women and perpetuate microaggressions that compromise their mental health and well-being. Critical nursing practice must question the idea of “culture” embedded in the dominant discourse of “culturally competent” care. Nurses need to achieve structural competence to dismantle systems of oppression and unequal power relations.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.027 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".