True north strong and free: preparing the Canadian Armed Forces for Arctic operations.
Bibliographic record
Abstract
The Government of Canada published its Arctic and Northern Policy Framework in September 2019 to serve as a whole-of-government approach to develop and secure the Canadian North. This monograph analyzes how the Canadian Armed Forces can use this policy framework as strategic guidance to influence the development of a Canadian Arctic operating concept. This operating concept is derived as a hybrid model of the Canadian adaptive dispersed operations and the American multi-domain operations concepts. It proposes that the Canadian Armed Forces adopt a multi-domain approach to projecting effects into the Arctic. Using operational art as a framework, this monograph concludes with recommendations on a specific end state for the Arctic, Canada's Arctic operational center of gravity, decisive points, future basing considerations, and where the Canadian Armed Forces and Government of Canada can accept risk in the Arctic.
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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) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.007 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".