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Record W4301936671 · doi:10.1017/9781139107785

The Red Army and the Second World War

2016· book· en· W4301936671 on OpenAlexaff
Alexander Hill

Bibliographic record

VenueCambridge University Press eBooks · 2016
Typebook
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFront (military)Front lineNazismContext (archaeology)Soviet unionIndustrialisationPolitical scienceWorld War IISpanish Civil WarEconomic historyHistoryLawEngineeringPoliticsArchaeology

Abstract

fetched live from OpenAlex

In a definitive new account of the Soviet Union at war, Alexander Hill charts the development, successes and failures of the Red Army from the industrialisation of the Soviet Union in the late 1920s through to the end of the Great Patriotic War in May 1945. Setting military strategy and operations within a broader context that includes national mobilisation on a staggering scale, the book presents a comprehensive account of the origins and course of the war from the perspective of this key Allied power. Drawing on the latest archival research and a wealth of eyewitness testimony, Hill portrays the Red Army at war from the perspective of senior leaders and men and women at the front line to reveal how the Red Army triumphed over the forces of Nazi Germany and her allies on the Eastern Front, and why it did so at such great cost.

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)0.001
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 score0.010
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0060.003
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.020
GPT teacher head0.210
Teacher spread0.191 · 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

Citations12
Published2016
Admission routes1
Has abstractyes

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