Bibliographic record
Abstract
Centre for Refugee Studies, York University is publishing a second special issue on trafficking in women.The first issue, released last year, was entitled "New Cargo: the Global Business of Trafficking in Women" and the articles focused on descriptions of the problem in eight countries, written from the perspective of frontline researchers and advocates.This second special issue is dedicated to analyzing the economic incentives and corporate organization of the transnational industry that is deriving significant profits and inflicting enormous human damage as a result of the sex trade, particularly "trafficking in women."This second special issue will contain analysis of the social and economic factors generating and sustaining the coercion and utilization of vulnerable women in the global business of sex trafficking.This time, the focus is on those who profit from trafficking, in the private and public spheres, including governments.Researchers and practitioners from academic circles and grassroots organizations working to counter trafficking in women are urged to submit papers which will iUuxninate who derives the economic benefits, while taking into consideration the realities of trafficking for women victims, including refugee and immigrant women's experiences with trafficking.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.885 | 0.758 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".