Genderplay: Reclaiming and Reconfiguring Femininity through the Gendered Labor Practices of Transmasculine Sex Workers
Bibliographic record
Abstract
Abstract This article explores the gendered labor of transmasculine sex workers as they navigate client requests for genderplay, an eroticized form of gender misrecognition. Drawing on in-depth interviews with transgender men and AFAB nonbinary sex workers, I conceptualize this specific form of gendered labor as reclaimed and reconfigured femininity, a skilled labor process that can produce unique pleasures and pains for this group of workers. Accomplishing reclaimed and reconfigured femininity requires negotiating the demands, anxieties, and erotic needs of clients, which can come into conflict with their identities as transmasculine people. Despite the potential costs of such investments of emotional labor, I find that this process can become a subversive practice of self-exploration and gender-making, as well as a source of pleasure for the workers themselves. The gendered consequences of paid genderplay are more complicated and even contradictory than they first appear. Although the process of reconfigured and reclaimed femininity described here is, in many ways, unique to sex work or to transmasculine experiences of work, it also offers fresh insight for sociological analysis of gender, labor, and pleasure.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.026 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".