Le Régiment De Maisonneuve: A Profile Based on Personnel Records
Bibliographic record
Abstract
The Régiment de Maisonneuve provided one of the 36 infantry battalions which served in the Canadian army during the campaign in Northwest Europe. It was one of four French-Canadian battalions raised in the province of Quebec during the first months of the war. Originally the Department of National Defence had intended to create a French-Canadian brigade but when it was decided that the Royal 22eme Régiment had to be included in 1st Division the plan for a French language brigade was abandoned. The Maisonneuves were ultimately linked with the Black Watch (Royal Highland Regiment), an English-speaking Montreal battalion, and the Calgary Highlanders. Together these oddly matched units constituted the 5th Canadian Infantry Brigade.\nThe Maisonneuves arrived in England in December 1940 and went into action on 19 July 1944 at the height of the battle of Normandy. On their first day of operations they had 17 fatal casualties. By the end of the war, 197 Maisonneuve other ranks had died in combat in France, Belgium, Holland and Germany.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".