Perceptions on confronting sexual exploitation in Canada: Introducing new primary research
Bibliographic record
Abstract
This paper provides a preview into new primary research into sexual exploitation and human sex trafficking in Canada. The project, for which interviewing is complete and analysis is now underway, is qualitative research taking a grounded, open-minded approach with an underlying hypothesis that better outcomes may be gleaned from systems of service providers and stakeholders through improved coordination and collaboration. Previous research on related topics has often overlooked key stakeholders including police, prosecutors, political, First Nations and other community leaders. This research casts a wider net, incorporating the voices of over 65 experts across Manitoba, including: experiential survivors of sexual exploitation and sex trafficking, police, social workers, Aboriginal leaders, and people working in numerous non-government organizations who work to prevent sexual exploitation and assist victims to escape the sex industry. The research was focused in Manitoba where women and children continue to be victimized in the sex industry despite having one of the most comprehensive and well-funded counter sexual exploitation strategies of any province in Canada. The questions asked of subjects were designed to highlight barriers and opportunities for improved collaboration, interdiction and response to prevent people from being exploited in the sex industry and help others to escape it. While the data is in the early stages of analysis, some strong themes are already apparent to the researcher. These themes suggest that there may be a significant correlation between vulnerability to sexual exploitation and poverty, lack of opportunities, familial environment and relationships, and resilience. Generally, people from all perspectives seem to be stressing that there needs to be better coordination of resources, and more education and awareness across society on this issue.
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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 | 0.025 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.040 | 0.022 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".