Mapping Contextual Drivers of HIV Vulnerability: A Qualitative Study of African, Caribbean, Black Youth in Windsor, Canada
Bibliographic record
Abstract
Background: Based on POWER study: Promoting and owning empowerment and resilience among African, Caribbean, and Black Canadian (ACB) youth, this paper explored the contextual factors that expose ACB youth to HIV infection. Method:We conducted six focused community-mapping sessions with 43 purposively drawn ACB youth living in Windsor, Canada.Based on socioenvironmental approach, we investigated a number of issues including, where to find ACB people, places afraid to go, places to find casual partners, where they spend leisure time, healthy and unhealthy places.Results: The findings showed that ACB population mainly resides in poor areas, with close proximity to bars, strip shops, recreational/sports places.And, multifaceted factors, such as economic deprivation, marginalization, discrimination, and substance use provided an enabling environment for ACB youth exposure to HIV/AIDS.Conclusion: Future HIV/AIDS prevention must be locality specific and culturally sensitive, by taking into account individual, structural, environmental and socio-cultural factors in future HIV prevention strategies.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.031 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".