When voting no is not enough: Legislative brawling and obstruction in Korea
Bibliographic record
Abstract
Abstract Although legislative brawling is a common occurrence—with 365 cases reported across the world between 1990 and 2018—we have a limited understanding of why members of representative bodies engage in violence. Does the lack of institutionalization or the violent nature of some legislators cause such behavior? This article argues that legislators with intense policy preferences engage in costly actions, such as brawling, as a means of signaling their policy commitment. To validate this claim, this article examines legislators' participation in legislative brawling and filibusters in Korea before and after the adoption of a filibuster procedure. I find that extreme members engaged in brawling before the adoption of procedural reform, while they engaged in filibusters after the adoption. This transformation of brawlers into filibusterers suggests that legislative brawling does not necessarily indicate a violent nature of some legislators but rather a desire by legislators to signal their policy commitments.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".