Engaging African-Caribbean, Asian, and Latino community leaders to address HIV stigma in Toronto
Bibliographic record
Abstract
Purpose Racialized minority and newcomer communities are over-represented in positive HIV cases in Canada. Stigma has been identified as one of the barriers to HIV prevention, testing, and treatment. Faith, media, and social justice sectors have historically served a vital role in promoting health issues in these communities. However, they have been relatively inactive in addressing HIV-related issues. The purpose of this paper is to report on the results of an exploratory study that engaged faith, media, and social justice leaders in the African-Caribbean, Asian, and Latino communities in Toronto. Design/methodology/approach This study used a qualitative interpretive design and focus groups to explore the challenges and opportunities in addressing HIV stigma. A total of 23 people living with HIV and 22 community leaders took part in seven focus groups. Intersectionality was used as an analytical lens to examine the social processes that perpetuate HIV stigma. Findings This paper focuses on the perspectives of community leaders. Five themes were identified: misconception of HIV as a gay disease; moralistic religious discourses perpetuate HIV stigma; invisibility of HIV reinforces community denial; need to promote awareness and compassion for people with HIV; and the power of collective community efforts within and across different sectors. Originality/value Although affected communities are faced with many challenges related to HIV stigma, effective change may be possible through concerted efforts championed by people living with HIV and community leaders. One important strategy identified by the participants is to build strategic alliances among the HIV, media, faith, social justice, and other sectors. Such alliances can develop public education and HIV champion activities to promote public awareness and positive emotional connections with HIV issues, challenge HIV stigma and related systems of oppression, and engage young people in HIV championship.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| 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".