Bibliographic record
Abstract
In the context of Japanese cultural postmodernism, the phenomenon of resuming literary masterpieces in comic book form appears as a juxtaposition with a specific purpose, resulting in a hybrid form which we would regard as komiXLit. As part of a specific way of knowledge, we interpret komiXLit as an alternative model whose characteristic is that of the combination of two apparently contradicting terms: the “high” literature and the manga pop culture publication, a cultural move placed by the Japanese publishing houses under the credo “understanding literature through manga”. Using the illustrative example provided by the masterpiece authored by Yasunari Kawabata Snow Country (1935-1937/ 1948) and its manga version (2010), with drawings by Sakuko Utsugi, the present endeavour proposes a reading in which the komiXLit version is interpreted as an architectonic structure inspired by the former, in an attempt to identify the dominants of the textual poetics. We propose that the term komiXLit designate the cultural and social phenomenon of resuming the masterpieces of the Japanese literature in manga (comics) versions, as a self-sustainable category within the genre, meant to complete the already existing ones: story manga‚ dramatic pictures, graphic novels, boys’comics, girls’comics, men’s comics, ladies’ comics.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".