Successful Command Lieutenant-General Robert Moncel on Wartime Leaders
Bibliographic record
Abstract
Lieutenant-General Robert Moncel was the youngest brigadier in Canadian history and commanded the 4th Canadian Armoured Brigade in Northwest Europe from 1944-1945 with great success.This transcript of an interview conducted by J.L. Granatstein contains Moncel's views on a wide range of issues related to the Canadian army of the Second World War, especially his candid views of many senior commanders including Guy Simonds, R obert Moncel was the youngest brigadier in Canadian history, promoted to that rank at age 27.Born in Montreal in 1917, he was a subaltern in the Victoria Rifles in Montreal when broke out, and he proceeded overseas in 1939 with the Royal Canadian Regiment.After several command and staff appointments, he led an armoured brigade with great success in 1944-45.After the war, Moncel served at Army Headquarters, in the US and UK, and was successively Quartermaster General and Vice Chief of the Defence Staff.He left the Canadian Forces in 1966 at the time of unification.He died in 2007.I met Moncel at a mess dinner at Camp Borden in 1960.A brash officer cadet, I asked him to get me access to the files of the Directorate of History at Army Headquarters for the B.A. thesis I was planning to write at the Royal Military College (RMC) on Canada and Peacekeeping.Amazingly, he did so, and I have been grateful to him ever since
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.047 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".