Recruitment and Entrapment Pathways of Minors into Sex Trafficking in Canada and the United States: A Systematic Review
Bibliographic record
Abstract
The domestic sex trafficking of minors is occurring across Canada and the United States. Understanding the routes into sex trafficking, including the way traffickers target, recruit and enmesh youth in the sex trade is invaluable information for service providers and law makers developing prevention and intervention initiatives. This review synthesized research on the exploitation processes and tactics employed by traffickers in the sex trafficking of domestic minors in Canada and the US. The authors comprehensively and systematically searched five electronic databases and obtained additional publications and grey literature through a backward search of the references cited in articles reviewed for inclusion. Inclusionary criteria included: Studies published in the English language between January 1990 and June 2020 containing original research with quantitative or qualitative data on the recruitment or pathways into sex trafficking for minors trafficked within the US and Canada. The search yielded 23 eligible studies. The synthesis of the studies in the review converged on the notion of sexual exploitation occurring on a continuum comprising of three components; the recruitment context, entrapment strategies utilized by traffickers, and enmeshment tactics used to prolong exploitation. Findings highlight the significant physical, psychological and emotional hurdles faced by youth victims of sex trafficking and point to the importance of comprehensive and holistic approaches to prevention and intervention practices.
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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 | 0.007 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.013 | 0.022 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".