Clients of Indoor Commercial Sex Workers: Heterogeneity in Patronage Patterns and Implications for HIV and STI Propagation Through Sexual Networks
Bibliographic record
Abstract
OBJECTIVES: To determine whether "high-risk" clients occupied important sociometric positions in sexual networks of commercial sex workers and to estimate whether they were more likely to be HIV and STI infected. GOAL: To determine whether a classification of high-risk clients could be validated by network analysis. STUDY DESIGN: We used proxy data on clients collected from a cross-sectional survey of 49 indoor female sex workers. RESULTS: Two types of clients were categorized as high risk, including those who created sexual bridges between sex establishments and those who had sex with most or all the FSW at an establishment. High-risk clients were significantly more central and were more likely to be members of cohesive subgroups than were lower-risk clients. The few known HIV and STI infections were in high-risk clients. CONCLUSIONS: It is possible to identify theoretically high-risk commercial sex clients from the network perspective using simple data collection and categorization approaches.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".