Leveraging a Legacy of Activism: Black Lives Matter and the Future of HIV Prevention for Black MSM
Bibliographic record
Abstract
This year marks the 30th anniversary of AIDS Education and Prevention. As we approach the United Nations goal of ending the AIDS epidemic by 2030, it is a useful time to reflect on and learn from history. In the United States, no such endeavor can be successful without addressing the specific context of Black men who have sex with men. In this commentary I highlight factors that led us to a state in which Black MSM represent approximately a quarter of all people living with HIV in the United States. I also look back at the power of activism during the beginning of the HIV epidemic. Using Black Lives Matter as a contemporary framework, I highlight natural linkages between activism 30 years ago, its incarnation and relationship to public health today, and its promise as the way forward in achieving the elimination of AIDS for Black MSM by 2030.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.017 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.008 | 0.015 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".