A study of public establishment-based and private network commercial sexual exploitation in Kolkata and Mumbai, India
Bibliographic record
Abstract
This article details the methodologies and results from studies on the commercial exploitation of children in known sex trade areas of Kolkata and Mumbai, India. The results include the number and attributes of sex workers and minors observed in public establishments and within a more private network. The study among public establishments entails the use of a conventional sampling design and sample calibration-based inference strategy for analyses. Based on a network/link-tracing sampling design, the private network study maps the social network of this side of the phenomenon, and inference is based on mark-recapture and weighted regression analyses. Minors are present in both public establishments and private networks. The study illuminating the private network highlights the intricacies of relationships between the key players and gives insight into this more hidden side of the sex trade. Both sampling procedures allow for observations and data collection of exploiters and victims in the midst of exploitation. This study is the first of its kind amongst those undertaken in the study region. The Governments of West Bengal and Maharashtra have worked towards improving anti-trafficking efforts, and the results provide invaluable insight and recommendations for policy purposes, training and mapping exercises for future studies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 | 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".