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Record W4377254305 · doi:10.1515/9780773576957

Strategy and Command

2009· book· en· W4377254305 on OpenAlexaff
Roy A. Prete

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2009
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicCompetitive and Knowledge Intelligence
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Histories of the First World War are often written from a British perspective, ignoring the coalition element of the conflict and the French point of view. In Strategy and Command, Roy Prete offers a major new interpretation supported by in-depth research in French archival sources. In the first of three projected volumes, Prete crafts a behind-the-scenes look at Anglo-French command relations during World War I, from the start of the conflict until 1915, when trench warfare drastically altered the situation. Drawing on extensive archival research, Prete argues that the British government's primary interest lay in the defence of the empire; the small expeditionary force sent to France was progressively enlarged because the French, especially Commander-in-Chief Joseph Joffre, dragged their British ally into a progressively greater involvement. Several crises in Anglo-French command relations derived from these competing strategic objectives. New information gleaned from French public and private archives - including private diaries - enlarge our understanding of key players in the allied relationship. Prete shows that suspicion and distrust on the part of both sides of the alliance continued to inform relations well after the circumstances creating them had changed. Strategy and Command clearly establishes the fundamental strategic differences between the allies at the start of the war, setting the stage for the next two volumes.

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)0.001
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 score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.010
Scholarly communication0.0100.005
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0160.005

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 head0.020
GPT teacher head0.209
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

Citations5
Published2009
Admission routes1
Has abstractyes

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Same venueMcGill-Queen's University Press eBooksSame topicCompetitive and Knowledge IntelligenceFrench-language works237,207