Diasporic Capital: Canadian Sex Workers of Color Hacking Sexual Racism
Bibliographic record
Abstract
The cultural economy of the contemporary Canadian sex industry, particularly the upscale sectors, requires workers to conform to white aesthetics and gestures in conscious attempts to generate desire among white consumers. This article, drawing on a qualitative study, posits Canadian sex workers of color as a critical point of inquiry to understand how they negotiate market expectations against the backdrop of popular representation of, for example, the “Jezebel,” “Sapphire,” the Dragon lady, and the Bollywood Queen. Sex workers of color in my sample are mostly immigrant women and Canadian women with full or partial ancestry in a foreign country. Drawing attention to research participants’ immaterial and intimate labor practices, which include emotional and aesthetic labor processes, I examine how these sex workers of color utilize diasporic capital to juxtapose dominant gender-, class-, and citizenship-based negative controlling images against sexual racism. Such labor practices involve negotiating their multiple, fluid, and overlapping identities as the workers unapologetically celebrate and revalorize their diasporic identities and cultures. Strategically mobilizing economic, social, cultural, and symbolic capital facilitates the transformation of their body capital to establish a minority niche within the contemporary sex markets.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.032 | 0.016 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".