The Role of Political Culture in Shaping Canadian, EU and US Disarmament Initiatives
Bibliographic record
Abstract
Canada and the European Union (EU) share, to a certain extent, a similar political culture, one based on multilateralism and the use of soft power. Nevertheless, over the past fifteen years Canada has been sometimes adopting disarmament policies that are similar to those of the EU and different from those of the US, while in other times it has been adopting policies that are similar to those of the US and different from those of the EU. This indicates that similarity in political culture alone is not sufficient enough to create convergence on foreign policies and that certain conditions must first be met for political culture to take precedence over neorealist explanations when dealing with security issues. Using Canadian, EU and US decisions on the issues of anti-personnel landmines and Iranian nuclear proliferation dilemma as case studies, this article analyses the conditions under which political culture plays a role in forming similar security policies.
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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 | 0.000 |
| 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".