The Spanish–American War: Land Battles in Cuba, 1895–1898
Bibliographic record
Abstract
This chapter examines Field-Marshal Montgomery&s;s conduct of the 1944-45 North-West Europe campaign in the light of two interlinked influences: conducting a campaign in a way designed to maintain the morale of your own troops, and with great concern to avoid casualties. These influences respectively may be termed the maintenance of morale and casualty conservation. The chapter also examines Montgomery&s;s operational conduct as Commander-in-Chief of the Anglo-Canadian 21st Army Group, which comprised 2nd British and 1st Canadian Armies. It describes the morale of 21st Army Group&s;s forces during the campaign. Montgomery&s;s operational method was encapsulated by his expression Colossal Crack. The chapter provides morale problems existed within Montgomery&s;s command, but that his forces advanced into Germany with their morale still intact. By 1944, the British leadership realised that if Britain emerged after Germany&s;s defeat with virtually no army, then Britain&s;s say in post-war Europe would be diminished.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".