Canada and the United Nations: Rethinking and Rebuilding Canada's Global Role
Bibliographic record
Abstract
The global order built after the Second World War is fraying and the United Nations is facing unprecedented challenges. The Advisory Panel on Canada and the United Nations, comprising multiple former Canadian UN ambassadors, therefore asked whether the UN should remain a central focus for Canadian foreign policy. The Panel concluded in its 2023 report “Canada and the United Nations: Rethinking and Rebuilding Canada's Global Role” that a well-functioning UN can offer the universality and predictability Canada needs to advance its national interests. This article summarizes the chief conclusions of that report, examining how Canada can rebuild influence at the UN. Too often, multilateral cooperation is an afterthought in Canadian foreign policy today and Canada's presence at the UN is under-resourced. The Panel and this article make a series of recommendations aimed at achieving a more functional, interest-based approach to Canada's UN engagements in the current global context.
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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 | 0.010 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.025 | 0.022 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".