An Army of Never-Ending Strength: The Reinforcement of the Canadian Army 1944-1945
Bibliographic record
Abstract
Abstract: “An Army of Never Ending Strength: The Reinforcement and of the Canadian Army 1944-1945”\nThis dissertation is a study of the Canadian Army’s ability to reconstitute battalion sized combat arms regiments (armour, infantry and artillery) during the last year of the Second World War in North West Europe. The central thesis argues that in combination with tactical and strategic strengths, the Canadian Army Overseas was effective at rebuilding units that had suffered severe personnel and equipment losses in combat. This ability to sustain the strength of its combat units was vitally important in maintaining their offensive capability. Units that had suffered catastrophic losses were rebuilt and re-equipped in a rapid manner that allowed them to be capable of any kind of operation. Without replacement resources at the ready, offensive capability within the Canadian Army would be inhibited, regardless of effective tactics or strategies. In comparison to the Germans, the Canadian Army was a phoenix, continually strengthening its operational units and maintaining their combat capability. By examining the record of Canadian replacements, losses, available resources and overall combat force deployed, a picture emerges of an Army with overpowering organizational, logistic and administrative strengths.\n.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".