Butterfly: Resisting the harms of anti-trafficking policies and fostering peer-based organising in Canada
Bibliographic record
Abstract
Drawing on knowledge gleaned from over four years of community organising and from the ongoing compilation of the experiences of Asian and migrant sex workers in Canada, this article presents a case study of the work of Butterfly, a migrant sex worker-led and sex worker-focused organisation. It explores how Butterfly, through various mediums, has sought to challenge the discourses, laws, and policies that negatively impact Asian and migrant sex workers. It also highlights how the organisation, through its peer-based model and activities and its radical centring of the voices and experiences of Asian and migrant sex workers, is able to more effectively address their everyday realities and struggles. In this way, Butterfly offers a grassroots alternative to the often detrimental prohibitionist and anti-trafficking interventions undertaken by governments, law enforcement, and social service organisations.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".