Foreign historiography of Canadian troops' participation in the North Russia Intervention of 1918–1919
Bibliographic record
Abstract
The analysis of the foreign historiography of Canadian troops' participation in the Allied Intervention to the North of Russia in 1918–1919 (also known as the Northern Russian Expedition, North Russia Intervention, etc.) has been performed in the paper. During the period of the Civil War and the Allied Intervention, Russia became a theater of military operations on the world scale. The vast territories were divided into a lot of fronts and zones of influence by the rival coalitions. Despite the fact that the main opposing forces in this war were the Red Army and the White Movement, other states also played an important political and military role in these events. The most active actors of the Allied Intervention are considered to be the United Kingdom and the United States of America. Under the conditions of the continuing World War, both of the powers contributed to the campaign, which spread at the territory of the former Russian Empire, a huge military contingent, a lot of weapons, ammunition and supplies, as well as significant amounts of money. However, the contribution of other participants in these events is overlooked by researchers. In addition to the British and Americans, the Allied Intervention was joined by French, Italian, Serbian, and Japanese contingents and other nations. It is noteworthy that the United Kingdom mobilized the units of its dominions (Canada, Australia and New Zealand) and colonies (India) for the military operation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".