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Record W2479847698 · doi:10.1017/cho9781139855969

The Cambridge History of the Second World War

2015· book· en· W2479847698 on OpenAlexaff
John Ferris, John Ferris, Evan Mawdsley, David French, J Taylor, Martin S. Alexander, Gerhard L. Weinberg, John Gooch, Alessio Patalano, Thomas G. Mahnken, Bruce W. Menning, Hans van de Ven, Karl-Heinz Frieser, David R. Stone, Simon Ball, Mary Kathryn Barbier

Bibliographic record

VenueCambridge University Press eBooks · 2015
Typebook
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHistoryArt historyLibrary scienceComputer science

Abstract

fetched live from OpenAlex

The military events of the Second World War have been the subject of historical debate from 1945 to the present. It mattered greatly who won, and fighting was the essential determinant of victory or defeat. In Volume 1 of The Cambridge History of the Second World War a team of twenty-five leading historians offer a comprehensive and authoritative new account of the war's military and strategic history. Part I examines the military cultures and strategic objectives of the eight major powers involved. Part II surveys the course of the war in its key theatres across the world, and assesses why one side or the other prevailed there. Part III considers, in a comparative way, key aspects of military activity, including planning, intelligence, and organisation of troops and matérial, as well as guerrilla fighting and treatment of prisoners of war.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.045
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0040.009
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.005

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 head0.023
GPT teacher head0.212
Teacher spread0.189 · 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

Citations20
Published2015
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicItalian Fascism and Post-war SocietyFrench-language works237,207