Perspective Democratic Resilience and Vulnerability in South Korea: Lessons from South Korea’s 2024–2025 Constitutional Crisis
Bibliographic record
Abstract
This article examines South Korea's 2024–2025 constitutional crisis, triggered by President Yoon Suk-yeol's unconstitutional declaration of martial law on December 3, 2024. The analysis focuses on three key aspects: the role of election fraud conspiracy theories in motivating anti-democratic actions, the dynamics of democratic resistance, and the challenges of maintaining cross-partisan pro-democracy coalitions. The crisis revealed both democratic vulnerabilities and resilience in South Korea's political system. While initial responses successfully prevented democratic backsliding through rapid mobilization and cross-partisan cooperation, subsequent polarization around election fraud claims complicated democratic recovery. The case offers crucial insights about democratic resilience, particularly highlighting the importance of immediate response to backsliding attempts and the challenge of maintaining broad pro-democracy coalitions against emerging partisan divisions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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".