THE GEOPOLITICS OF CANADIAN DEFENSE WHITE PAPERS: LOFTY RHETORIC AND LIMITED RESULTS
Bibliographic record
Abstract
As the United States northern neighbor, Canada serves as a NATO ally and a strategic partner with Washington through the North American Aerospace Defense Command (NORAD). Canadian forces have fought honorably and bravely in concert with American forces in many wars. Canada's government, however, has been less consistent in promoting a credible vision of Canadian national security policy and geopolitical interests in its defense white papers. These documents have often contained idealistic rhetoric about adhering to a rules-based international order and defending freedom. In reality, Canadian governments of varying political parties have consistently failed to provide the sustained funding and coherent national security strategy to make Ottawa an effective partner with the U.S. and the NATO alliance in addressing historical and emerging national security threats. This article examines Canadian defense white papers for several decades and recommends ways Canada can ensure its defense policy planning can have greater credibility in the national security policymaking corridors of its allies and with potential adversaries.
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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 | 0.065 | 0.175 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.021 | 0.037 |
| Science and technology studies | 0.040 | 0.029 |
| Scholarly communication | 0.044 | 0.010 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".