Condition Verified: On Photography, Trans Visibility, and Legacies of the Clinic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We approach this paper with a shared investment in historical and contemporary representations of trans and gender non-conforming people, and our individual research in the archives of early US Gender Clinics. Together, we consider what is at stake—or what might be possible—when we connect legacies of photography used as diagnostic tools in gender clinics with snapshots of early, community-based gatherings, and the presence of trans people in contemporary art. From the archives of Robert J. Stoller and photos of Casa Susanna, to the collaborative photography of Zackary Drucker and Amos Mac, and the biometric data art-theory experiments of Zach Blas, we engage a series of image-based projects, which animate underlying questions and socio-political debates about the politics of visuality, and visibility’s impact on trans and gender non-conforming people. Moreover, we argue that rhetorical strategies of proof—from conditions verified in clinics to shared existence through photography—are tethered to, and thus trapped by, the logics and discipline of legibility and re-institutionalization.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it