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Record W2134872891 · doi:10.1177/0968344513483069

On Standards and Scholarship: A Response to Nicholas Lambert

2013· article· en· W2134872891 on OpenAlexaff
Christopher Bell

Bibliographic record

VenueWar in History · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsDalhousie University
Fundersnot available
KeywordsNavyCraftScholarshipHistoryInterpretation (philosophy)LawFirst world warClassicsSociologyPolitical scienceAncient historyPhilosophyArchaeology

Abstract

fetched live from OpenAlex

This article examines Nicholas Lambert’s criticisms of the article ‘Sir John Fisher’s Naval Revolution Reconsidered: Winston Churchill at the Admiralty, 1911–1914’ ( War in History 18, 2011), which challenged revisionist claims that in July 1914 the Royal Navy was on the verge of implementing a ‘naval revolution’ based on radical ideas attributed to Admiral Sir John Fisher. It demonstrates that Lambert’s criticisms are unfounded, and provides additional evidence to support an alternative interpretation of British naval policy in the period 1912–14. Important changes were undoubtedly under way on the eve of the First World War, but the revisionists exaggerate Fisher’s influence and oversimplify an inherently complex decision-making process. The Admiralty’s plan to substitute torpedo craft for some of the battleships in its 1914 programme was intended to bolster a conservative strategy, and the changes under consideration were essentially evolutionary in nature.

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)0.048
metaresearch head score (Gemma)0.089
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.048
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0480.089
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.004
Science and technology studies0.0200.071
Scholarly communication0.0220.034
Open science0.0050.014
Research integrity0.0380.055
Insufficient payload (model declined to judge)0.0050.001

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 head0.015
GPT teacher head0.290
Teacher spread0.275 · 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
GenreCommentary

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

Citations6
Published2013
Admission routes1
Has abstractyes

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