High-risk sex among mobile female sex workers in the context of jatras (religious festivals) in Karnataka, India
Bibliographic record
Abstract
Jatras (religious festivals) represent venues for female sex workers (FSWs) to meet potential clients in an environment of anonymity. Data from a survey conducted among 1499 mobile FSWs in Karnataka, India were analysed using bivariate and multivariate analysis. Overall, 31% of mobile FSWs reported attending jatras in the previous year. Women who sold sex at jatras tended to practice sex work in public places, in their own homes or on highways. Jatra attendees reported lower condom use with their last commercial sexual partners at their usual places of sex work. Jatra-related mobility was a significant predictor of non-condom use at their usual place of residence, after controlling for sociodemographic, sex work-related, HIV vulnerability and programme exposure variables. Moreover, only 13% of FSWs used condoms consistently at jatras. Condom availability and accessibility at jatras should be a priority for HIV prevention programmes, and such programmes should make efforts to introduce outreach activities at jatras.
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 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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".