Developing a Canadian Indo-Pacific geopolitical orientation
Bibliographic record
Abstract
There is growing consensus that Canada needs to “do more” in the Indo-Pacific region as it becomes the centre of gravity in a changing international landscape—a landscape challenging several traditional assumptions about the nature and configuration of global power which Canadian foreign policy has rested upon for decades, specifically due to the emergence of Sino-American rivalry. It is clear Canada needs a regional approach which is rooted in and better informed by geopolitical considerations, but there remains an absence of analytical frameworks to compare and evaluate alternative approaches. In addressing this void, this paper sketches out and compares four possible orientations Canada could pursue towards the Indo-Pacific region: Minimal Engagement, US-Aligned Confrontation, Regional Multilateralism, and Selective Minilateralism. Remaining agnostic about which one(s) Canada should choose, the paper is designed to highlight the stark trade-offs Canada must increasingly confront as it navigates this uncertain environment.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".