Regulating the Idol: The Life and Death of a South Korean Popular Music Star
Bibliographic record
Abstract
Abstract For many people outside the South Korean popular music (K-pop) world, the December 2017 death of pop star Kim Jonghyun was a sad, but abstract event. Jonghyun, and dozens more like him, is a type of Korean celebrity known as an “idol.” In addition to being popular within Korea, idols are the public face of K-pop, which has become a worldwide phenomenon. This has made idols into incarnations of Korea and Korean culture, and brought the public's powerful disciplining gaze to bear on these young performers. In this paper, we explore how characteristics of life in contemporary Korea—including a high suicide rate, and intense pressures in education and employment—compound with idols' years of intense training in singing and dancing without adequate attention to physical, much less mental, health. Although this is the first incident of an A-list K-pop idol committing suicide, we propose that the nature of contemporary Korean celebrity, together with specific factors defining the lives of Korean youth, create an environment where suicide may become even more prevalent, escalating Korea's suicide rate, which is already among the world's highest. Finally, we discuss the potential impact of Jonghyun's suicide on K-pop fans.
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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 | 0.000 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".