Bibliographic record
Abstract
Loyal Gunners uniquely encapsulates the experience of Canadian militia gunners and their units into a single compelling narrative that centres on the artillery units of New Brunswick. The story of those units is a profoundly Canadian story: one of dedication and sacrifice in service of great guns and of Canada. The 3rd Field Regiment (The Loyal Company), Royal Canadian Artillery, is Canada’s oldest artillery unit, dating to the founding of the Loyal Company in Saint John in 1793. Since its centennial in 1893, 3rd Field—in various permutations of medium, coastal, and anti-aircraft artillery—has formed the core of New Brunswick’s militia artillery, and it has endured into the twenty-first century as the last remaining artillery unit in the province. This book is the first modern assessment of the development of Canadian heavy artillery in the Great War, the first look at the development of artillery in general in both world wars, and the first exploration of the development and operational deployment of anti-tank artillery in the Second World War. It also tells a universal story of survival as it chronicles the fortunes of New Brunswick militia units through the darkest days of the Cold War, when conventional armed forces were entirely out of favour. In 1950 New Brunswick had four and a half regiments of artillery; by 1970 it had one—3rd Field. Loyal Gunners traces the rise and fall of artillery batteries in New Brunswick as the nature of modern war evolved. From the Great War to Afghanistan it provides the most comprehensive account to date of Canada’s gunners.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.100 | 0.015 |
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".