Pro-Alcohol-Use Social Environment and Alcohol Use among Female Sex Workers in China: Beyond the Effects of Serving Alcohol
Bibliographic record
Abstract
The current study was designed to fill the literature gap by examining the roles of the pro-alcohol social environment in alcohol use among female sex workers (FSWs) in China. In this study, a total of 1,022 FSWs were recruited through community outreach from both alcohol-serving and nonalcohol-serving commercial sex venues in Guangxi, China. The pro-alcohol social environment was measured in four areas: institutional norms, institutional practices, risk perceptions and peer norms. The measures of the pro-alcohol social environment were significantly associated with the venues' alcohol-serving practices, with FSWs from those venues reporting a more positive pro-alcohol social environment than their counterparts from nonalcohol-serving venues. However, these pro-alcohol social environment measures were independently predictive of alcohol use after controlling for venues' alcoholserving practices and other demographic characteristics. Public health interventions need to target environmental-structural factors through altering pro-alcohol-use social norms and practices at both institutional and individual levels among FSWs in China.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".