Inexpensive Leadership: On Canada’s Global Normative Position and Its Potentials
Bibliographic record
Abstract
The paper deals with the apparent gap between Canada's considerable reservoir of international social capital on the one hand and its lack of visibility on the global stage on the other. It argues that Canada has certain advantages compared to other western powers to become a normative great power. To assume such position of (non-traditional) global leadership, however, Canada needs to break loose from lingering legacies of the Cold War and especially from middle-powerism. This can be facilitated by a departure from Cold-War Realism to post-Cold War Constructivism\Realism. The paper reviews the attempt to make the human security discourse a normative framework of Canada's foreign policy and analyzes its failure. Based on the insights provided by this analysis, the paper proposes two strategic normative discourses for a Canadian bid for global leadership. These include green lifestyle and multiculturalism. The paper also provides examples to show how the two can be put into concrete actions.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.019 | 0.014 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".