Commercialised Sexual Exploitation of Children, Adolescents and Women: Health and Social Structure in Bangladesh
Bibliographic record
Abstract
Background: This research is based on our argument that the commercial sexual exploitation of women and children (CSEWC) often includes a variety of abuses, sexual, physical, emotional, and economic. In Bangladesh, “Sex work” is a major industry, and about two percent of girls and women in the population aged 12 to 30 are subject to the status of CSEWC. Methods: From a review of literature and from ethnographic field work, we present an analysis of the sexual abuse of children, girls and women engaged in “sex work” in Bangladeshi brothels, addressing as well issues of STIs and HIV infection, in men who use CSEWC. Findings: Adolescents who are forced to become CSEWC suffer multiple forms of abuse, which may be life-threatening. Bangladeshi men of all ages and classes use CSEWC. Rates of HIV/AIDS remain relatively low (but may infect 5 percent in CSEWC). However, STIs (sexually transmitted infections) affect 50 percent of CSEWC, and at least 15 percent of men who use them. There is some evidence that men’s widespread use of CSEWC spreads STIs to their wives, so that rates in women in the general population are relatively high. The CSEWC themselves suffer numerous physical and sexual abuses including bondage and trafficking to India and the Middle East. Police and local officials are involved in the toleration of this abuse, and about a third of money paid by men for sexual services passes to corrupt officials. Conclusions: We advocate support for the growing movement of adult women who campaign against the use of CSEWC, as a means of ending at least the exploitation of children and adolescents. We advocate also the development and evaluation of programmes of preventive education for high school students, as well as the reiteration of the norms of an Islamic culture which should end the sexual abuse of women and children. We also advocate the introduction of a basic income which would give women choices, enabling them to escape the life of CSEWC. Our final recommendation is for a major programme of research and evaluation of programme innovation which will describe the extent of, and ways of preventing, the commercial sexual exploitation of girls and women in Bangladesh.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".