Stickers and Glitter: The Politics of Being Bejeweled and Bedazzled and The Deep Gay Apparatus
Bibliographic record
Abstract
This MFA thesis includes the design and construction of a performance moving \napparatus called The Deep Gay Apparatus (TDGA). It references durational and \nperformative works by contemporary artists, often emulating the visionary artistic \npractice of Jack Smith. The theoretical framework deployed includes the theory of \ndisidentification as posited by José Esteban Muñoz. The project required a durational \nwalk with TDGA in which I extensively played with my own Faggotry using radical \nartist Bruce LaBruce as an influence. I pushed the boundaries of my body using strength, \nboth mental and physical and collected the everyday, made drawings, collaged, made \nperformances and used my body as a documentary tool. I displayed my new artworks at \nan open-air exhibition which culminated the five day, 95 hour long performance. The \nperformative medium was my body, the method was heuristic and time was the theme \nthat transformed TDGA as an object and me as artist.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.037 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".