Bibliographic record
Abstract
This chapter argues that representations of the Japanese sword exhibit that distinctively feminized type of exquisite aesthetics. Feminized, because although Victorians were already interested in swords by the publication in France of Pierre Loti's story Madame Chrysanthème, it was through Anglophone revisions of that story that the play of the sword, as an instrument of internal and external violence, has become most deeply entrenched. This chapter follows the Chrysanthème story's mutation into the Americanized story of Madame Butterfly, the Anglo-Chinese-Canadian auto-Orientalizing revision of the Butterfly stories in the work of Onoto Watanna/Winnifred Eaton, and then to cinema: a Japanese body-horror movie named Audition (1999) and a couple of American blockbusters made by Quentin Tarantino. The particular form of body horror that psychoanalysis refers to as “castration anxiety” inevitably permeates Western concern with the samurai sword. But the chapter shows how such an object as a sword is here understood as both feminine, and feminizing, rather than as a kind of phallic auxiliary.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".