East Asian Perspective in Transmedia Storytelling | Transmedia Storytelling in the Age of Digital Media: East Asian Perspectives — Introduction
Bibliographic record
Abstract
Admitting to the explosion of transmedia storytelling based on Korean webtoons and Japanese manga/anime, this Special Section focuses on the emergence of East Asian transmedia storytelling, which is rapidly growing. As the outcomes of the June 2018 Vancouver conference, the papers included in this section commonly attempt to investigate the recent surge of webtoons and manga/anime as the sources of transmedia storytelling for East Asian popular culture. The primary purpose of this Special Section is to explore whether cultural products utilizing transmedia storytelling take a major role as the primary local cultural product in the Asian cultural market in the 21st century. Some of them also historicize the evolution of regional popular culture according to the surrounding digital media ecology, driving the change and continuity of the manhwa industry, now focusing on webtoons, over the past 15 years.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".