P2-S2.02 Role of decision makers in the lives of migrant sex workers-focus on families: an qualitative assessment
Bibliographic record
Abstract
Background This study is aimed to understand the role of family members in decision-making process of female sex worker (FSW) migration and its impact on HIV risk, vulnerability and transmission dynamics in Bagalkot, Bijapur and Belgaum districts of Northern Karnataka and southern Maharashtra. Methods Qualitative in-depth interviews were conducted with family members of the migrant and non-migrant female sex workers (FSWs) as a part of a large cohort study to understand the patterns and determinants of FSW migration from northern Karnataka to southern Maharashtra, South India. The present paper specifically focuses on the findings generated from in-depth, qualitative interviews with 30 family members of migrant and non-migrant (15 each) FSWs who entered into sex work through the traditional” devadasi system. Results Economic factor is inherent in the sex work initiation and FSW migration. Families (mainly mother in the family) are playing a prominent role in the decision regarding the initiation, migration, selection of destinations, brothel madams, financial dealings and the contract agreement with brothel madams. Peer influence, economic status of a family and established contacts with destinations are supportive factors for FSW migration. Migrant sex workers are made to believe that they have the responsibility of fulfilling families' economic needs including the repayment of loans. Conclusions Information on role of a decision maker in the lives of migrant sex workers can be used to decide regarding resource allocation and programmatic prioritisation. Building strong rapport with families and linking the place of origin and destination may increase the ability to reach FSWs at an early stage of sex work profession.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.001 |
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".