HIV Prevention for Black Women: Structural Barriers and Opportunities
Bibliographic record
Abstract
Black women bear a disproportionate burden of HIV/AIDS in North America. The purpose of this investigation was to explore Black Canadian women's perspectives on HIV risk and prevention. Four 90-minute focus groups (n=26) and six key informant interviews were conducted in Toronto with Black women of African and Caribbean descent and low socioeconomic status. Data analysis revealed a number of potent barriers to existing HIV preventive interventions: stigma, cultural disconnections, lack of engagement of Black religious institutions, and multiple intersecting forms of discrimination. Recommended HIV prevention opportunities included the Black church, mainstreaming, health care providers, and ethno-specific agencies. HIV prevention strategies for North American Black women, rather than focusing on HIV and individual risk behaviors, may benefit from a primary focus on social and structural factors (e.g., promoting gender equality, economic opportunity, women-controlled prevention technologies and combating racism in health care) thereby integrating HIV prevention into the larger context of community health and survival.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".