(Il)legal Subjects? Contested Identities of Canadian Indoor Sex Workers
Bibliographic record
Abstract
Women’s participation in the sex trade industry has always been a subject of contention, with conflicting representations. In this paper, I present the finding of in-depth, face-to-face interviews with ten independent in-call and/or out-call sex workers in Canada. Through these interviews, I seek to understand the distinctive names and meanings attributed to the identities of sex workers. Driving on divergent analytical concepts such as legal consciousness, respectability, self-creation and the intersection between gender, race, class and sexuality I chart participants’ perceptions and interpretations of the classifications inscribed to them by legal, political, and the civil society. Moving beyond existing languages and discourses that are particularly used to define, name and characterize women’s involvement in the sex industry, in this paper I highlight the fluidity and complexities of personal, social and political identities of the ten sex workers. Key Words: Sex Work, Women, Law, Gender inequality, Resistance
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.036 | 0.031 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".