Canadian Arctic Security and Climate Change: Where Does Traditional Security Fit?
Bibliographic record
Abstract
While Lakenbauer's analysis of the indigenization of Arctic security arrangements through the implementation and expansion of the Canadian Rangers program identifies the changing context of security activities over time (and the relatively modest contribution the program makes in expanding the definition of security beyond the conventional notion as that of traditional security delivered by the state, to the state, and for the state, within the Canadian Arctic), one thing remains clear: a desire for traditional military protection, focused upon the pillars national security and sovereignty, still explain the establishment and expansion of the Arctic Ranger program since WWII. While indigenization of military security through the Rangers program was designed in some ways to deliver a new type of traditional security, ostensibly because “the military could not feasibly station large numbers of regular soldiers in the North,” the implementation of a Rangers force as the main security unit within the Canadian North has not resulted in an inherent shift to a more individualistic, sensitive and comprehensive human security. Rather, it has been a reason why some elements of Canadian society demand a larger and more visible traditional military presence.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".