Devising a female sex work typology using data from Karnataka, India
Bibliographic record
Abstract
BACKGROUND: We examine the extent to which an existing sex work typology captures human immunodeficiency virus (HIV) risk in Karnataka and propose a systematic approach for devising evidence-based typologies. METHODS: The proposed approach has four stages: (i) identifying main places of solicitation and places of sex; (ii) constructing possible typologies based on either or both of these criteria; (iii) analysing variations in indicators of risk, such as HIV/sexually transmitted infection (STI) prevalence and client volume, across the categories of the typologies; and (iv) identifying the simplest typology that captures the risk variation experienced by female sex workers (FSWs) across different settings. Analysis is based on data from 2312 participants in integrated biological and behavioural assessments of FSWs conducted in Karnataka, India. Logistic regression was used to predict HIV/STI status (high-titre syphilis, gonorrhea or chlamydia) and linear regression to predict client volume. RESULTS: Our analysis suggests that the most appropriate typology in Karnataka consists of the following categories: brothel to brothel (i.e. solicit and have sex in brothels) (11% of sampled FSWs); home to home (32%), street to home (11%), street to rented room (9%), street to lodge (22%), street to street (9%) and other FSWs (8%). Street to lodge FSWs had high HIV (30%) and STI prevalence (27%), followed by brothel to brothel FSWs (34 and 13%, respectively). CONCLUSIONS: The proposed typology identifies street to lodge FSWs as being at particularly high risk, which was obscured by the existing typology that distinguishes between FSWs based on place of solicitation alone.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".