Policy Gridlock versus Policy Shift in Gun Politics: <i>A Comparative Veto Player Analysis of Gun Control Policies in the United States and Canada</i>
Bibliographic record
Abstract
Why do major events of gun violence (i.e., mass shootings) lead to incremental change or no federal legislative change at all in the United States while major events of gun violence have resulted in large-scale legislative changes in Canada? Exploring the complexities involved in this compelling question, this article conducts a comparative analysis of recent gun control policy gridlock and shift in these two countries. We concentrate on two mass shooting cases in each country: the Columbine (1990) and Sandy Hook (2012) massacres in the United States and the École Polytechnique Massacre (1989) and Concordia Shooting (1992) in Canada. We use veto player theory to gain insights into why tightening gun policy is so difficult to implement in the United States while Canada often follows up with policy transformations after a focusing event. This theory informs the central argument that the key factors underpinning the divergent policy outcomes on gun control issues in both countries involve differences in the structure of government/institutional design and the role and power of interest groups in each case.
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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 | 0.002 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".