Bibliographic record
Abstract
The device of cross dressing is adopted both by Renaissance writer Shakespeare and Chinese writer Li Yu in late Ming and Early Qing dynasty. This paper makes a comparison between Shakespeare’s work The Twelfth Night and Li Yu’s Yi Zhong Yuan (The Desired Ideal Matches), in which the female protagonists are dressed in men’s cloth. The two female protagonists transgress into men’s world by cross dressing, showing the ambiguity of gender identity and challenging the dominant system by men. However, they owed different attitudes towards cross dressing and different level of masculinity. Traced back into the concept of gender in two cultures, we may find an answer to this difference. Key Words: cross dressing; gender; Renaissance; imperial China Resume: Le procede du travertisme est adopte a la fois par un ecrivain de Renaissance, Shakespeare, et un ecrivain chinois Li Yu, a la fin de la dynastie des Ming et au debut des Qing. Ce document etablit une comparaison entre l”oevre de Shakespeare, La Nuit des Rois et celui de Li Yu, Zhong Yi Yuan (le Couple ideal desire), dans lesquels les heroines se sont habillees en homme. Les deux heroines entrent dans le monde des hommes par le moyen de travertisme, tout en montrant l'ambiguite de l'identite sexuelle et la contestation du systeme dominant par les hommes. Toutefois, elles ont des attitudes differentes vis-a-vis du travertisme et sont de niveau different de la masculinite. En remontant au concept de sexe dans ces deux cultures, nous pourrions trouver une reponse a cette difference. Mots-Cles: travestisme;sexe; Renaissance; Chine imperiale
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".