Diverging paradigms : the interaction of identities and norms in Canadian human trafficking policies
Bibliographic record
Abstract
Human trafficking policies in Canada, to date, focus primarily on border control and punitive measures against human traffickers. However, non-governmental organizations (NGOs) continue to point out that addressing the structural conditions that lead to such trafficking and respecting the human rights of trafficked persons is the most effective way of addressing the exploitation of trafficked persons. The difference in perspectives between government agencies and NGOs make developing a comprehensive and coherent response very difficult. However, continued incoherence of policy implementation is too costly to ignore. This paper compares the diverging perspectives of government policies and NGO approaches to international human trafficking in Canada. Such research is necessary in order to understand the ideas that inform the policies and to deconstruct the meanings of the policies. Moreover, this research will explore why policies are interpreted in diverging ways and explores how identities and norms interact to produce policies.
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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 | 0.015 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.041 | 0.045 |
| Scholarly communication | 0.021 | 0.005 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".