Cultural Awareness and Representation Shouldn’t be an Afterthought in Anti-human Trafficking Programme and Policy Design
Bibliographic record
Abstract
As a person with lived experience of being sex trafficked, I am acutely aware of the lack of progress in preventing this violent form of abuse.I see the reality of the problem from a personal and professional lens and am invested in making real change.Faith-based groups, feminist organisations, social work practitioners, police, prosecutors and non-profits all claim expertise in the issue of child sexual exploitation, but very few include individuals with lived experience related to the issue or have lived experience themselves.Organisations that do include people with lived experience tend to hire them as front line workers with little ability to influence policy or procedures.This reflection focuses on the need for people with lived experience to inform all aspects of work to address sex trafficking because of the essential cultural knowledge that they possess.Ample evidence points to the value of peer support in numerous fields, and I have witnessed its effectiveness within the context of sex trafficking, but it has not been researched well in this area.I regularly monitor journals in the hopes that researchers will reflect on why peer support appears to be successful when so many other programmes are not, but I continue to be disappointed.I suspect that many programmes are unsuccessful because they are not based on a real understanding of the culture in which victims are entrenched, which facilitates continual abuse.Years ago, when developing an intensive training module for the Province of Manitoba's Anti-Exploitation Strategy, I began to articulate
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".