Sociocultural Contexts of HIV Transmission for Newcomer Black Gay, Bisexual Men (GBM) Who Have Sex with Men: Implications for Sexual Health Education and Human Rights in Ontario, Canada
Bibliographic record
Abstract
This article examines the sociocultural and structural conditions that shape HIV vulnerability among newcomer Black gay, bisexual, and other men who have sex with men (GBM) in Ontario, Canada. Based on qualitative data from focus groups with 22 newcomer Black GBM, the study explores how intersecting experiences of anti-Black racism, homophobia, trauma, and precarity during migration and resettlement impact access to sexual health education and care. Participants shared accounts of violence in their countries of origin, challenges navigating Canada’s housing and healthcare systems, and the ongoing mental health impacts of displacement and marginalization. Using a community-based participatory research framework, and in partnership with the Black Coalition for AIDS Prevention (Black CAP), the article argues for a culturally responsive and rights-based approach to sexual health education—one that centres the lived realities of Black GBM newcomers. The findings underscore the urgency of trauma-informed, anti-racist, and inclusive services to support HIV prevention, mental health, and human rights for this underserved population.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 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".