“What other choices might I have made?”: Sexual Minority Men, the PrEP Cascade and the Shifting Subjective Dimensions of HIV Risk
Bibliographic record
Abstract
The PrEP Cascade is a dominant framework for investigating barriers to HIV pre-exposure prophylaxis (PrEP), an HIV prevention tool. We interviewed 37 PrEP users and 8 non-PrEP users in Ontario and British Columbia, Canada, about their decision-making through the Cascade. Participants were HIV-negative gay, bisexual, and queer men (GBQM). The data were analyzed using thematic analysis. PrEP decision-making was based on pragmatic considerations (logistics, costs, and systemic barriers), biomedical considerations (efficacy, side-effects, and sexually transmitted infections), and subjective considerations (identity, politics, and changing sexual preferences). Affective attachments to established versions of "safer sex" (condoms and serosorting) made some GBQM less likely to try PrEP. Some GBQM expressed increased social expectations to use PrEP, have condomless sex, and serodifferent sex. These findings support offering PrEP at no-cost, offering individualized counseling and community-based opportunities to discuss PrEP use and changing sexual practices, and improving communication on the manageability of PrEP side-effects.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".