Between worlds: Cis-and trans-identifying diaspora Middle Eastern and North African (MENA) women in Ontario, Canada on the intersections of gender, sexuality and sexual health
Bibliographic record
Abstract
Youth Sexual Health and HIV/STI Prevention in Middle Eastern and North African Communities (YSMENA) is the first community-based research study in Canada to explore key determinants of sexual health among diaspora Middle Eastern and North African (MENA) women living in Canada. Our objectives were to identify the factors influencing sexual health for MENA youth and grow an evidence base to strengthen the sexual health response for MENA communities. Using mixed- method design, data were gathered through a quantitative socio-demographic survey and qualitative focus groups with 24 women-identifying MENA youth (16-29 years) living in Ontario, Canada. Six (6) focus groups were held virtually via Zoom, with heterosexual, lesbian, bisexual and queer (LBQ), and trans women. Members of each group participated in two sessions as per the sequential critical dialogical method and transcripts were coded in NVIVO. While participants identified with diverse sexual orientations and across the trans-feminine gender spectrum, key commonalities surfaced, namely the pressures to conform to familial expectations and the barriers faced when accessing healthcare. The trans group experienced compounded levels of exclusion given their unique positioning. Although the challenges faced by the group were deeply entrenched in patriarchy, heteronormativity and internalized shame, many participants demonstrated resilience and self-acceptance that enabled them to forge pathways to health. Findings have important and valuable implications for community-based health programs targeting MENA women as well as healthcare practitioners and service providers.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".