Canada may need to move Arctic issues up the agenda
Bibliographic record
Abstract
Significance In recent decades, the focus for Ottawa has been on Russian interest in the Arctic, but Beijing has been showing increased diplomatic and military interest in the region. Canada faces an uphill battle to assert sovereignty in its Arctic North and it is not clear that Washington’s Arctic interests will help. Impacts Melting sea ice will boost economic opportunity for Canada’s northern communities as they become viable commercial locations. Canadian governments will spend to boost Canada’s military presence in the North but new capabilities will be slow to emerge. Russian power projection in the Arctic will be through icebreakers and submarines for the foreseeable future. China hopes to deploy significant resources into mining in Northern Canadian communities, which are struggling for investment. Canada will collaborate more closely with Arctic Council allies to close ranks against Russian and Chinese activity.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.033 | 0.008 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.037 | 0.023 |
| Insufficient payload (model declined to judge) | 0.052 | 0.007 |
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".