How Canada's Indo-Pacific strategy conflicts with ASEAN's outlook on the Indo-Pacific
Bibliographic record
Abstract
Despite giving lip service to the importance of respecting the “centrality” of the Association of Southeast Asian Nations (ASEAN), Canada's Indo-Pacific strategy (CIPS) conflicts with the ASEAN Outlook on the Indo-Pacific (AOIP). Instead, Canada defines its position in the Indo-Pacific through the lens of American priorities and perspectives. For its part, the AOIP expresses an ASEAN consensus position but fails to capture the highly complex and varied views of different ASEAN states toward the US and China. The ASEAN states are status-quo powers navigating a region that is undergoing profound strategic and economic changes. By allying itself so firmly with the US, Canada participates in sowing tension in the Indo-Pacific and may face potential consequences in the longer term. CIPS allows little room for the complex regional relations that the ASEAN states are trying to balance.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".