âBackdoor to Warâ: A Canadian Infantryman at Hochwald and Xanten, FebruaryâMarch 1945
Bibliographic record
Abstract
Hugh McVicar was born in 1914 in Guelph, Ontario and graduated from Parkdale Collegiate in Toronto in late 1933. After a year at Toronto Normal School and work at a variety of occupations he joined Swift Canadian Company as a salesman. Married, with a young child and approaching 30 years of age, joining the army was “the farthest thing from his mind.” He was called up under the National Reserves Mobilization Act (NRMA) in March 1944 and immediately agreed to accept general service, meaning service overseas.\nAs a bookkeeper he was assigned to the Royal Canadian Army Service Corps but as a driver not a clerk. After bootcamp at the CNE in Toronto and basic training at Cornwall he was sent to Red Deer, Alberta for advanced training on trucks. On arrival in England in December 1944 he passed another medical and discovered that he was now Private McVicar, infantryman.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.041 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.039 | 0.004 |
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".