The Prostitution Business of Greater Mekong Subregion Women in Bangkok and the Adjacent Areas
Bibliographic record
Abstract
This paper is a qualitative based research, conducting in-depth interviews with 18 subjects consisting of GMS prostitutes working in Bangkok and other relevant informants. The objectives of this research are to study characteristics of the prostitution business in Bangkok and the adjacent areas and to study dynamics of causes, motivation, and the processes of how GMS women entering the prostitution business in Bangkok. The research results show that the entertainment places secretly provide prostitution services in Bangkok and the adjacent areas run the business openly. GMS women and Thai women providing prostitution services is illegal in Thailand. GMS women travelling to Bangkok to provide the prostitution services come from Laos, Myanmar, Vietnam, China, and Cambodia, respectively. Although the government takes strict action, the prostitution business cannot be completely eradicated. The most important problem is corruption of government officials in various areas. As for the recommendations, it is advised that there should be a study of international practices consisting of crime control models, especially elimination of corruption of government officials in various areas, legalization model, or decriminalization model in the offence of the prostitution service to study the models suitable for the current situations.
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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 | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".