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Record W2793746342 · doi:10.1017/cbo9781316151150

Britannia's Shield: Lieutenant-General Sir Edward Hutton and Late-Victorian Imperial Defence

2015· book· en· W2793746342 on OpenAlexaboutno aff
Craig Stockings

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsEmpireAppealImperial unit systemScholarshipLawHistoryMilitarismBritish EmpireAncient historyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Britannia's Shield: Lieutenant-General Sir Edward Hutton and the Late-Victorian Imperial Defence presents an in-depth, international study of imperial land defence prior to 1914. The book makes sense of the failures, false starts and successes that eventually led to more than 850,000 men being despatched from the Dominions to buttress Britain's Great War effort – an enormous achievement for intra-empire military cooperation. Craig Stockings presents a vivid portrayal of this complex process as it unfolded throughout the late-Victorian Empire through a biographical study of Lieutenant-General Sir Edward Hutton. As a true soldier of the Empire, the difficulties and dramas that followed Hutton's career at every step – from Cairo to Sydney, Aldershot to Ottawa, and Pretoria to Melbourne – provide key insights into imperial defence and security planning between 1880 and 1914. Richly illustrated, Britannia's Shield is an engaging and entertaining work of rigorous scholarship that will appeal to both general readers and academic researchers.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.124
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.002

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 head0.029
GPT teacher head0.285
Teacher spread0.256 · 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

Citations10
Published2015
Admission routes1
Has abstractyes

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