Understanding the impact of police brutality on black sexually minoritized men
Bibliographic record
Abstract
Young Black gay, bisexual, and other sexually minoritized men (SMM) face high levels of police brutality and other negative, unwarranted encounters with the police. Such interactions have known health consequences. The purpose of this study was to understand the health, mental health, and social consequences of police brutality experienced by young Black SMM. We conducted in-depth interviews with 31 Black, cisgender men, ages of 16–30 and analyzed the data using thematic analysis. Our primary results are summarized in four themes: 1) Police brutality is built into the system and diminishes trust; 2) Videos and social media make visible violence that has long existed; 3) Police brutality contributes to anxiety and other psychosocial effects; and 4) Violence reduces feelings of safety and contributes to avoidance of police. Our results highlight the direct and vicarious police brutality participants are subjected to and sheds light on the effects of such violence on trust, perceived safety, anxiety, and trauma symptoms. Results from this study contribute to the needed public health conversation around police brutality against Black men, specifically shedding light on the experiences of 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".