CRITICAL PERSPECTIVES ON KOREAN DIGITAL AND SOCIAL MEDIASCAPES
Bibliographic record
Abstract
In the last couple of decades, Korea’s digital and social media has become a major force in transforming Korean society, where information and communication technologies are pervasive throughout. Some activists have been using digital and social media as an essential form of mobilization in the public sphere. Meanwhile, corporations driving the cultural industries have utilized digital and social media as a new outlet for the global prominence of Korean popular culture around the world in their myriad forms. The popularity of Korean cultural products, including K-pop, Korean dramas, and digital games in the domestic and global marketplace is evident in recent sensations such as the hit “Gangnam style,” which is still the most viewed YouTube video in history. These activities and practices have asked us to think over the primary role of digital and social media in what is consistently the world’s most networked society both socially and in terms of internet access. This panel considers the role of these technologies in the development of a new form of global youth culture. It is a critical exchange of dialogue and scholarship that involves analyzing the critical role of digital and social media in the Korean context, providing an interdisciplinary model for research in this sociocultural milieu.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.012 | 0.022 |
| Scholarly communication | 0.017 | 0.014 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| 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".