America's rebalance to the Asia-Pacific: The impact on Canada's strategic thinking and maritime posture
Bibliographic record
Abstract
This paper examines the impact of the US pivot to the Asia-Pacific on Canada's strategic thinking and maritime posture. It highlights elements of the US rebalance before examining Canada's recent past, present, and future strategic and military engagement. Canada wants to be able to contribute to crisis de-escalation if regional tensions lead to conflict, yet the Royal Canadian Navy has less deployment capacity today than it has had in 25 years. To contribute to mediatory influence, and provide warfighting capability, a recapitalized navy should increase deployments to the region, forward deploy some naval assets, and ensure interoperability with its US counterpart. In the event of a crisis, a choice might have to be made between a neutral, honest-broker stance and a more likely decision to contribute forces to a US-led coalition. The first step in either case is to be in the Asia-Pacific region with capable and credible naval forces.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".