Korean Wave| The Korean Wave: Retrospect and Prospect ― Introduction
Bibliographic record
Abstract
The Korean Wave (hallyu in Korean) marks a historical point and celebrates its 20th anniversary in 2017. The Korean Wave primarily started with a few well-made television dramas that were popular in East Asia, and the local cultural industries have advanced several cultural forms, including K-pop and digital games, which have gradually penetrated global markets. This Special Section focuses on the origin of the Korean Wave, and the articles emphasize either theoretical challenges in hallyu studies or empirical cases of hallyu in various areas of the world. The primary purpose of this Special Section is to explore the history of the Korean Wave as a catalyst of regional and global change by analyzing the evolution, structure, mechanisms, and strategies employed by the music, television, film, digital games, and animation industries in the global markets and their shifting relationships with the state. As the foundational basis for the articles in this Special Section, our goal in this introduction is to provide several key dimensions of the Korean Wave to help readers understand the nature of the emerging local popular culture and digital technologies as a new trend.
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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 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".