Bibliographic record
Abstract
This article examines two manga, Stop!! Hibari-Kun! and No Bra, which prefigure the increasingly popular anime and manga genre of "Otokonoko" from a queer studies perspective. Otokonoko is a term which translate to “boy-girl”, “boy-daughter”, or “boy-princess” and is often translated into English as “cross-dresser”. The genre emerged in the early 2000s and has since become a popular point of reference and conversation both within and outside of anime and manga communities. Both the genre, and its titular characters have become iconic within both Japanese and Western online culture. As with most genres, the otokonoko genre is trope heavy, so it was decided to look at works that prefigure the genre to better understand the appeal without the weight of the traditions of the genre weighing too heavily on the content. Both Stop!! Hibari-Kun! and No Bra follow the story of a boy who becomes increasingly attracted to a gender ambiguous character assigned male at birth, but who appears female to most. Both manga are centrally about this conflict between the love interests’ perceived maleness and the protagonists perceived heterosexuality. The article analyses the appeal of each work to both male and trans feminine readers, because what would later become the otokonoko genre is written and read by both male and trans feminine readers. It also argues that these manga offer something unique from Western depictions of transgender lives, based on the popularity of manga and anime among Western trans feminine readers.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".