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Record W4399223747 · doi:10.5040/9798400654848

From the Normandy Beaches to the Baltic Sea

2000· book· en· W4399223747 on OpenAlexaboutno aff
Alan J. Levine

Bibliographic record

VenuePraeger eBooks · 2000
Typebook
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSurrenderBattleContext (archaeology)GermanSpanish Civil WarMilitary historyHistoryPolitical scienceAncient historyLawArchaeology

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.048
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.003

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.

Opus teacher head0.029
GPT teacher head0.276
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations3
Published2000
Admission routes1
Has abstractyes

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