Iroko Onlus: working to combat the trafficking of Nigerian women and girls into Italy.
Bibliographic record
Abstract
Since the mid-1980s substantial numbers of women and girls from Nigeria have been trafficked into Italy to work as prostitutes. They must learn to cope with a new reality a new country and a new social context and often have no support network of friends or family. Some face violence and exploitation from their traffickers and some of whom were once trafficked themselves and now buy women of their own. The last few years have seen an increasing number of very young girls in most cases minors being trafficked to satisfy the ever more exigent requests of the clients. The imposed on the women and girls by their traffickers upon their arrival in Italy are large amounts which can range from US$30000 to approximately US$60000. The debts have to be paid in a matter of a few months at the risk of violence being used on them and/or on their families in Nigeria by their madams. It should be noted that the girls charge an average US$10/15 per client and at times as little as US$5. Moreover they are also requested to make an advance payment per month of a minimum of US$500 to rent the roadside spot where they work. Other payments they may incur include a weekly sum US$35 as contribution for their feeding buying of expensive provocative clothing for working (usually sold to them by the madams themselves or by her friends) and the giving of various regular and expensive gifts to their madams each month. (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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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".