Vulnerability re-assessed: The changing face of sex work in Guntur district, Andhra Pradesh
Bibliographic record
Abstract
We conducted a qualitative study to examine the impact of an HIV prevention programme on female sex workers' lives in Guntur district, Andhra Pradesh. The study found evidence that, in addition to the HIV prevention programme, structural and environmental factors had recently changed the way sex work was being practiced. Recent closure of the brothels and implementation of a late-night street curfew by the police meant sex work had become more hidden, with clients often solicited using mobile phones from home or their work place (e.g., in the fields or factories). Sex work had become safer, with violence by non-regular partners rarely reported. Women understood the risks of unprotected vaginal sex and reported using condoms with their clients. However, clients were more frequently requesting anal sex, possibly due to recent exposure to pornography following increased accessibility to modern technologies such as mobile phones and the Internet. Anal sex with clients was common but women were often unaware of the associated risks and reported unprotected anal sex. HIV positive and/or older women faced severe financial hardship and difficulty soliciting sufficient clients, and reported unprotected vaginal and anal sex to earn enough to survive. Taken together, the findings from this study suggest changing vulnerability to HIV in this setting. It will be important for HIV prevention programmes to be flexible and creative in their approaches if they are to continue to reach this target community effectively.
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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 | 0.002 | 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 | 0.012 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".