Onward: The King's Own Calgary Regiment in Peace and War, 1910-1960
Bibliographic record
Abstract
The history of the King’s Own Calgary Regiment in war and peace, never losing sight of the ordinary soldier’s journey from civilian to warrior and back again. This is the story of the King’s Own Calgary Regiment. Beginning in the last years of collective innocence before the Great War, it follows the regiment to Vimy Ridge, through the short years of peace to Dieppe and the Italian Campaign, through the establishment and maintenance of militia and reserve forces, and into the Cold War. Onward is a soldier’s story: mundane, heroic and tragic. This book explores not only the actions of the regiment but also the efforts of civilians to become warriors, to maintain their ties to home during the rigours of war, and the often-rocky return to civilian life. It explores peacetime, when the regiment struggled to maintain active reserves with aging equipment and minimal support. It places the King’s Own Calgary Regiment within the context of Canada’s army, tracing its relationships with brigade mates, supporting artillery and engineers to provide a complete and fascinating history. Regimental history does not begin with the first shot of a battle, nor does the story end when the fighting stops. Onward is a thoroughly researched and captivating chronicle of the Kings Own Calgary Regiment and its soldiers in peace and war.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".