Mobility in the Arctic: applying lessons from the past to the new operational environment.
Bibliographic record
Abstract
The Arctic operational environment has and continues to present challenges to mobility at the tactical and operational level. Doctrine and training solutions require perspectives from the past as well as an understanding of the future developments to the operational environment. Three case studies were analyzed to inform doctrinal and training recommendations – the Battle of Suomussalmi (7 December 1939-8 January 1940), the Petsamo-Kirkenes Operation (7-29 October 1944), and post-World War II Canadian exercises (1945-1955). The outcomes of this analysis when held against future Arctic factors of temperature, permafrost, precipitation, infrastructure, vegetation, and the Russian threat indicate that US doctrine provides a sufficient base to inform tactical mobility. Operational doctrine, however, needs to be updated to fully prepare commanders and staff for the mobility challenges awaiting an Arctic Brigade. Continuing multi-national training exercises across the Arctic, developing a permanent joint multinational training center, and standardizing Arctic training will further prepare ground forces for the mobility challenges of the future.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".