Bibliographic record
Abstract
Abstract This article argues for what the author calls a trans-mad aesthetic of space, defined as designs or artworks that embark, sense, emote, and collect, in ways that queerly disrupt the norms of the public sphere. These four aesthetic operations resist, in turn, four current affective/spatial norms of mental health treatment: confinement, rationality, repression, and an individualizing model of madness. As part of unfolding this model for a trans-mad aesthetic, the article asserts that the link between transgender and madness (as categories) is not merely one of addition—say, people who are both transgender and mad—but, rather, one of mutual constitution. To make these suggestions, the article engages an eccentric archive that includes posters that advocate transgender depathologization, Greek mythologies of gendered madness, government legislation about sexual sterilization, and psych ward design protocols. Its two key case studies, however, are artistic: Hannah Hull and James Leadbitter's “Madlove: A Designer Asylum” and the oeuvre of Montreal performance artist Coral Short.
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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.089 |
| Scholarly communication | 0.016 | 0.009 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".