Diffraction Patterns of Homoeroticism and Mimesis between Twelfth Night and She's the Man
Bibliographic record
Abstract
Shakespeare’s Twelfth Night (1602) is well-known for its homoeroticism, whereas the critical consensus concerning She’s the Man (dir. Andy Fickman), a 2006 film based on Twelfth Night, seems to be that it dampens the play’s homoerotic strategies and meanings in the translation to film. This paper argues that while specific elements are indeed dampened, homoeroticism is still firmly present in the movie, and the perceived curtailing of much of the play’s subversive energy does not explain the film’s queer legacy. Because of the different codes surrounding homoeroticism for Elizabethan drama and Hollywood cinema, the different contours of homosocial space within the two societies, and the Western invention of the homosexual as a distinct category in the time between the two eras, the queer potential of She’s the Man resides in different moments of the story, and is filtered through capitalist strategies of queerbaiting. Therefore, I aim to show the diffraction patterns of queer and trans desire between the two works. Specifically, the different approaches to mimesis shape this intra-action, including the place of women in mimetics; the specters of realism and psychoanalysis; shifting notions of gender and sexuality; and changes in audience tastes regarding bodily spectacle in cross-dressing stories.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".