Exercise âMusk Oxâ: Asserting Sovereignty âNorth of 60â
Bibliographic record
Abstract
The Second World War was over and the Canadian armed forces were being reduced rapidly. The first chilly blasts of the Cold War had not yet penetrated to the consciousness of most Canadians. What role could the forces play in the postwar world? The most obvious answer was to revert to those interwar operations that had most directly benefited the nation—aerial surveys, northern communications, limited engineering projects. New tasks had evolved; aerial search and rescue was an example.\nThe Canadian government was aware that it had neglected the north during the war; the American presence in the Alaska Highway, CANOL, and aerial delivery routes via the Arctic had been more prominent than that of the nominal owners of the region. This was continuing even into the postwar period; early in 1946 the USS Midway was cruising in the Labrador Sea and Davis Strait areas, experiencing Arctic flying conditions and noting the effects of sub-zero temperatures on carrier-borne aircraft. “Musk Ox,” publicly described as a test of military equipment and capabilities in the north, was a gesture to reassert Canadian sovereignty “north of 60.”
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.036 | 0.033 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".