The inherent violence of anti-Black racism and its effects on HIV care for Black sexually minoritized men
Bibliographic record
Abstract
Abstract The goal of this study was to examine the effects of racial discrimination, depression, and Black LGBTQ community support on HIV care outcomes among a sample of Black sexually minoritized men living with HIV. We conducted a cross-sectional survey with 107 Black sexually minoritized men living with HIV in Chicago. A path model was used to test associations between racial discrimination, Black LGBTQ community support, depressive symptoms, and missed antiretroviral medication doses and HIV care appointments. Results of the path model showed that men who had experienced more racism had more depressive symptoms and subsequently, missed more doses of HIV antiretroviral medication and had missed more HIV care appointments. Greater Black LGBTQ community support was associated with fewer missed HIV care appointments in the past year. This research shows that anti-Black racism may be a pervasive and harmful determinant of HIV inequities and a critical driver of racial disparities in ART adherence and HIV care engagement experienced by Black SMM. Black LGBTQ community support may buffer against the effects of racial discrimination on HIV care outcomes by providing safe, inclusive, supportive spaces for Black SMM.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".