Sex robot brothels: backlash, by-laws, and sex work within the queer inhuman fold
Bibliographic record
Abstract
This article examines the rhetorical strategies and legal frameworks used to shutter sex robot brothels. Drawing on media coverage of sex robot brothel controversies across Asia, Europe, and North America between 2004 and 2024, the article reveals how sex dolls, sex robots, sex workers, and the sexually trafficked are conflated and interpellated as subhuman threats in need of regulation. In conversation with critical race and queer inhumanist analyses of sexuality, technology, and humanity, the article examines the role of Asian sex workers and of municipal legal regulation in these debates, with particular attention to Eurocentric humanist ideas of Asian sex workers as inhuman/subhuman and to techno-Orientalist conflations of Asian labourers as robots. The article considers what may emerge when Asian sexual subjects turn towards the robot and away from the norm of the Eurocentric human. Drawing on the example of Cybrothel’s ‘Analogue AI’ offerings, it is suggested that sex doll/robot brothels may help spawn alternative and expansive affections and ways of living.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.050 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".