Why Canada Goes to War: Explaining Combat Participation in US-led Coalitions
Bibliographic record
Abstract
Abstract Canada has taken part in six wars since 1945, all of which have been conducted under US leadership. Despite such military interventionism, there have been no systematic comparative analyses of Canada's decisions to take part in US-led wars. The objective of this article is to develop and test a theoretical framework about why Canada goes to war. More specifically, it seeks to account for variations in Canada's provision of combat forces to multinational interventions led by the United States. It assesses leading theoretical explanations by examining five post–Cold War cases: the wars in Kosovo, Afghanistan and Libya; the war against ISIS; and the refusal to take part in the invasion of Iraq. The article concludes that Canada's willingness to go to war is shaped primarily by a desire to maintain transatlantic alliance unity and enhance Canada's alliance credibility. Threats to national security, the legitimacy of the intervention, government ideology and public opinion are not found to consistently or meaningfully shape Canadian decisions to take part in US-led wars.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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 source (direct Gemma or distilled Codex), 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".