Human trafficking and outcomes for children and young people in the UK
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Human trafficking, ‘modern slavery’ and exploitation have risen up policy agendas as social issues of major global and public concern. In the UK, awareness about the human trafficking of children and young people has grown significantly over the past decade with children making up 44% of all referrals into the UK’s National Referral Mechanism (NRM) in 2023. The views of these children are missing from policy, as is any focus on outcomes. This paper draws on research that scoped international evidence on outcomes and undertook 20 participatory workshops with 31 young people in three locations across England and Scotland. A stark contrast was found between negative outcomes, negative sequalae and negative consequences of human trafficking and the capabilities, strengths and focus on creating positive outcomes when working with young people. Outcomes were ultimately detailed through a Positive Outcomes Framework, anchored in the lives and rights of young people. It is suggested this contrast offers a key insight into a relatively unexplored aspect of human trafficking; that evidence currently misses a focus on positive outcomes in the post-trafficking experience. This risks defining young people solely through their past traumatic experiences, denies their agency and abilities to move forward with their lives.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it