Men Who Specifically Seek Unprotected Sex Partners via the Internet: Whose Profiles Are the Most Searched for by Other Site Users?
Bibliographic record
Abstract
Men who have sex with men (MSM) account for the largest number of persons diagnosed with AIDS in the United States, with higher than-average rates of drug use and unprotected sex being cited as the principal reasons underlying their high rates of HIV infection. Recent evidence has suggested that the use of Web sites specifically designed to promote unsafe sexual practices may be particularly common among MSM, therebyfostering their risky behaviots. In light of these findings, the present study which compares HIV risk behaviors sought by men whose profiles are among the most frequently brought up in searches to those whose profiles ate not aspopular with other site users, is based on a content analysis of 1,316 ads/profiles posted on one of the most popular MSM Web sites that specifically fosters unprotected sex. Ads/profiles were selected randomly based on the American ZIP code of residence. Data were collected between September 2006 and January 2007. Rates of advertised-for high-risk sexual behaviots were very high both for men whose profiles were among the most popular and those whose profiles were not, particularly for oral sex involving ejaculation into the mouth, anal sex involving ejaculation into the anus, multiple partner sex, and fetching. Analytical comparisons of these groups showed that the most searched for profiles weæ thosepromoting the highest levels ofrisky behaviors and the greatest propensity toward wanting to engage in high-risk activities. Ihe HIV intenention-related implications of these findings are discussed.
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.
How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".