Prostitution, Trafficking and the Global Sex Industry: A Conversation with Janice Raymond
Bibliographic record
Abstract
Janice G. Raymond is Professor Emerita of Women’s Studies and Medical Ethics at the University of Massachusetts in Amherst and Adjunct Professor of International Health in the School of Public Health at Boston University. She is also Co-Executive Director of the Coalition Against Trafficking in Women an international NGO having Category II Consultative Status with ECOSOC and with branches in most world regions. AM: I’m very pleased to have the opportunity to talk with you about the Coalition Against Trafficking in Women and the political context within which the struggle against prostitution and trafficking is happening as you see it. I’d like to start by asking you about the Coalition’s general positions on the issues involved. JR: The Coalition Against Trafficking in Women (CATW) believes that it’s a fundamental human right to be free of sexual exploitation in all its forms. Specifically we work on issues of prostitution and trafficking within the context of opposing the global sex industry that is systematically violating women’s rights on an ever increasing scale. I’ll talk a little bit about some of our principles and philosophy because these underlie the rest of what I’ll say. (excerpt)
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.054 | 0.028 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.012 | 0.018 |
| Insufficient payload (model declined to judge) | 0.004 | 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".