Queer techno-orientalism as method: <i>Mr. Robot, Uterus Man</i> , and other Chinese techno futures
Bibliographic record
Abstract
This article inter-references Asian North American theorizing of techno-orientalism and queer Asia as method. Specifically, it develops queer techno-orientalism as method to think beyond Chinese queer and trans bodies’ hyper visibility as “technologized threats” in techno-orientalist representations and their invisibility in China’s cisheteronormative, nationalist hi-tech future. It argues that Chinese queer and trans bodies can reclaim a reparative techno future beyond these two dominant frames. To do this, I practice queer techno-orientalism as method by juxtaposing the cyberpunk TV series Mr. Robot (2016–2019) and the animated short Uterus Man (2013). I read against the grain of techno-orientalist tropes to explore other possible relationships between Chinese queer/trans bodies and technology more specifically, and between East Asian queer/trans futures and technology more broadly.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".