If HIV Prevention Works, Why Are Rates of High-Risk Sexual Behavior Increasing among MSM?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Systematic reviews of HIV prevention research provide clear evidence that behavioral interventions can influence the sexual behavior of men who have sex with men (MSM). However, if HIV prevention works, why are rates of high-risk sexual behavior increasing among MSM in major European, Australian, Canadian, and U.S. cities? The evidence generated by systematic reviews alone may not provide a clear answer to this question. This is because (a) it is uncertain whether experimental interventions shown to be effective in one setting, place, or moment in time can be repeated successfully in another; (b) we have limited understanding of the processes that underlie the interventions; (c) interventions shown to work in an experimental study may not necessarily be effective in everyday life. To answer the question, we need to be alert to the changing risk environment in which men have sex with other men. We also need to develop a new program of research addressing the transferability, sustainability, and effectiveness of sexual health promotion among MSM. Randomized controlled trials will remain one of the optimal means of evaluating behavioral interventions in such a program. By further strengthening the evidence base, we may identify opportunities for innovative as well as effective HIV prevention initiatives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it