Bibliographic record
Abstract
A brief, yet complete history of the Allied campaign for the liberation of Europe from the Normandy invasion to the surrender of Germany, this study describes not only what happened, butwhyit happened. While an enormous amount has been written about this campaign, most of it focuses upon a single army or an individual battle. This book stresses a true inter-Allied and all arms approach with a balance of both strategy and tactics; accounts of effort by land, sea, air forces; as well as the strong influence of logistics. Levine deals extensively with the German side, particularly morale issues, and he includes the role played by Canadian forces—a topic usually neglected in American accounts. Rapid changes in warfare rendered the character of the battles of 1944-1945 quite different from battles earlier in the war, and Levine finds that old-fashioned fortifications often had an unexpected and formidable impact on the fighting. Logistics played a central role in the struggle, and supply problems would continuously plague the U.S. Army during this campaign. Levine considers whether the war could have been won in 1944, and he discusses the lost opportunities on both sides. Casting new light on some familiar subjects and recounting many neglected issues, this book places the campaign within the larger context of European events in both the east and the Mediterranean.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".