Gender relations and risks of HIV transmission in South India: the discourse of female sex workers' clients
Bibliographic record
Abstract
In South India, where the majority of the country's cases of HIV are concentrated, transmission of infection occurs mainly within networks composed of female sex workers, their clients and the other sexual partners of the latter. This study aims to determine how gender relations affect the risks of HIV transmission in this region. Semi-structured interviews were carried out with 30 clients and analysed qualitatively. Results show that clients perceive sexual relations with female sex workers as a vice involving loss of control and contact with women at the bottom of the social ladder. Paradoxically, this sometimes allows them to conform to the masculine ideal, in giving sexual satisfaction to a woman, in a context of incompatibility between the idealised and actual masculine and feminine archetypes. Attitudes to condoms, affected by various facets of the client-female sex worker relationship, are indicators of the link between this relationship and the risks of contracting HIV. The results suggest that there is a need for expanding targeted HIV prevention towards clients and female sex workers alongside more general interventions on gender issues, particularly among young people, focusing on the structural elements moulding current relations between men and women, with particular consideration of local cultural characteristics.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.013 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".