Bibliographic record
Abstract
Abstract The competition reality television show Dragula (Boulet Brothers, 2016-present) features a parade of monsters from the horror canon. Each episode, queer drag artists present outfits based on the show's aesthetic tenants: horror, filth and glamour. Nearly every outfit presented by the show's contestants, dubbed ‘drag monsters’, features some element of monstrosity and many pay specific homage to monsters from horror cinema. In drawing the monster figure into the world of gender performance, Dragula showcases the vast queer possibility of the monster figure. Like queerness itself, these drag monsters prove monstrosity is fluid and need not by associated to any one specific gender; the monster figure provides a canvas on which these artists can move between both human and non-human and male and female. This chapter traces the show's horror lineage – most notably the text from which it queers its name, Bram Stroker's Dracula (1987), and Stephen King's Carrie (1974) as well as the alternative precedent set by the drag legend Divine. Its analysis demonstrates Dragula's creative power in reimaging gender beyond the binary of man/woman by way of the monster figure.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".