Sexual slavery without borders: trafficking for commercial sexual exploitation in India
Bibliographic record
Abstract
Trafficking in women and children is a gross violation of human rights. However, this does not prevent an estimated 800 000 women and children to be trafficked each year across international borders. Eighty per cent of trafficked persons end in forced sex work. India has been identified as one of the Asian countries where trafficking for commercial sexual exploitation has reached alarming levels. While there is a considerable amount of internal trafficking from one state to another or within states, India has also emerged as a international supplier of trafficked women and children to the Gulf States and South East Asia, as well as a destination country for women and girls trafficked for commercial sexual exploitation from Nepal and Bangladesh. Trafficking for commercial sexual exploitation is a highly profitable and low risk business that preys on particularly vulnerable populations. This paper presents an overview of the trafficking of women and girls for sexual exploitation (CSE) in India; identifies the health impacts of CSE; and suggest strategies to respond to trafficking and related issues.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".