Canada’s and Russia’s Security and Defence Strategies in the Arctic: sA Comparative Analysis
Bibliographic record
Abstract
This comparative article reveals how the general focus of Canadian and Russian threat perceptions in the Arctic have shifted from a Cold War fixation on hard defence to accommodate soft security issues over the last three decades. Both countries now pay greater attention to threats and challenges stemming from climate change, security, and safety risks associated with resource development and increasingly accessible sea routes. Although concern about military conflict arising from Arctic disputes continues to frame some media discussions in both countries, most strategic analysts and academics have moved away from this line of argument. Instead, military functions now include assertion of Canadian and Russian sovereignty over their respective internal waters, as well as protection of resources in their exclusive economic zones and on and in extended continental shelves; protection of economic interests in the North, including mineral and bio-resources; prevention of potential terrorist attacks against critical industrial and state infrastructure; and dual-use functions, such as search and rescue operations, surveillance of air and maritime spaces, support to safe navigation, and mitigation of natural and human-made catastrophes. The authors argue that analysts should parse two forms of military modernization in the Arctic: one of capability development related to the global strategic balance, where the Arctic serves as a bastion or a thoroughfare; and a second intended to address emerging non-traditional security challenges. They contend that these modernization programs do not inherently upset the Arctic military balance and need not provoke a regional arms race.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.015 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".