Inspection, policing, and racism: How municipal by-laws endanger the lives of Chinese sex workers in Toronto
Bibliographic record
Abstract
The debate on the regulation of sex work in Canada has largely focused on the criminal law, and especially, how criminalizing sex work violates the human rights of sex workers and undermines their health and safety. In comparison, research into the impact of municipal laws on sex work has been limited. This paper draws on interviews with sex workers and owners of businesses massage parlours in exploring how municipal bylaws affect the working situations and vulnerability of Chinese sex workers employed in massage parlours in Toronto. Inspection, controle et racisme: Mettre en peril la vie des travailleuses du sexe chinoises par les lois municipales a Toronto Resume Le debat a propos de la reglementation du travail du sexe au Canada est surtout axe sur la loi criminelle et, en particulier sur comment la criminalisation du travail de sexe va a l'encontre des droits humains des travailleuses-eurs du sexe et crees des conditions qui met en danger leurs sante et securite. Par contre, peu de recherches ont ete entreprises sur l'impact que peut avoir les lois municipales sur le travail du sexe. Cet article s'appuie sur des entrevues menees aupres de travailleuses du sexe et des proprietaires de salon de massage a Toronto afin d'explorer comment les lois municipales affectent les conditions de travail et la vulnerabilite des travailleuses du sexe chinoises qui travaillent dans des salons de massage. Mots clefs : lois municipales; salon de massage; travailleuses du sexe chinoises
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.009 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".