Negotiating Violence in the Context of Transphobia and Criminalization
Bibliographic record
Abstract
A growing body of international evidence suggests that sex workers face a disproportionate burden of violence, with significant variations across social, cultural, and economic contexts. Research on trans sex workers has documented high incidents of violence; however, investigations into the relationships between violence and social-structural contexts are limited. Therefore, the objective of this study was to qualitatively examine how social-structural contexts shape trans sex workers' experiences of violence. In-depth semistructured interviews were conducted with 33 trans sex workers in Vancouver, Canada, between June 2012 and May 2013. Three themes emerged that illustrated how social-structural contexts of transphobia and criminalization shaped violent experiences: (a) transphobic violence, (b) clients' discovery of participants' gender identity, and (c) negative police responses to experiences of violence. The findings demonstrate the need for shifts in sex work laws and culturally relevant antistigma programs and policies to address transphobia.
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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 | 0.023 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".