Wrong now, right then: policy salience in the termination of the South Korean Shutdown Act
Bibliographic record
Abstract
Abstract While existing studies acknowledge the political impact of policy termination, research on the dynamic political landscape and the bureaucracy’s strategic action in driving such termination remains limited, particularly in morality policies, where diverse values clash across political perspectives. To address this gap, this study examines South Korea’s Shutdown Act, a regulation on teenage gaming that epitomizes the tension between values relating to adolescent autonomy and youth protection. This research analyzes government press release texts from 2008 to 2022, covering the period from the policy’s adoption to its termination. This article investigates how the government manages policy salience during different stages of the termination process. Findings reveal that policy salience diminishes as policies stabilize over time and intensifies during the termination phase, when it becomes higher compared to earlier stages, including when the policy was first adopted. Ultimately, this study contributes to the policy termination literature by demonstrating that it is a distinct phase of the policy process with defined characteristics. In our case, the observed shifts in policy salience throughout the Shutdown Act’s cycle highlight the political nature of termination, especially in the case of a morality policy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".