Bibliographic record
Abstract
The webtoon has been one of the major cultural forms representing Korean youth culture due to its convergence of digital technologies, such as the Internet and smartphones, and popular culture – manhwa (comic strips in Korean). While Korea is not the only country to enjoy webcomics, it is the first country in creating a new form of manhwa format by utilizing major characteristics of digital technologies. By employing media convergence supported by transmedia storytelling as a major theoretical framework, this study analyzes the crucial elements characterizing the emergence of the webtoon market. It examines the ways in which webtoons have managed to become one of the Korea’s signature forms of youth culture. Second, it investigates whether webtoons act as one of the major sources for transmedia storytelling. Finally, it maps out whether webtoons utilizing transmedia storytelling take a major role as the primary cultural product of the Korean wave in the global cultural market in the 2010s. This study historicizes the evolution of Korean webtoons according to the surrounding new media ecology, driving the change, and continuity of the manhwa industry 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".