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Record W7135999220

The Windfall Battleships:Agincourt, Canada, Erin, Eagle and the Latin-American & Balkan Arms Races

2023· book· en· W7135999220 on OpenAlexaboutno aff
Aidan Dodson

Bibliographic record

VenueExplore Bristol Research · 2023
Typebook
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsCapital (architecture)Front (military)TreatyDiplomacyTurkishService (business)EagleShipbuilding
DOInot available

Abstract

fetched live from OpenAlex

This book explores for the first time the full story of how two Turkish and two Chilean battleships became British capital ships after the outbreak of the First World War. Under construction by the shipbuilding giants of Armstrong and Vickers in August 1914, Sultan Osman I, Resadiye, Almirante Latorre and Almirante Cochrane became HM Ships Agincourt, Erin, Canada and Eagle. The first three served with the Grand Fleet, fighting at Jutland, while the last was transformed into a pioneering aircraft carrier, which would serve with distinction until sunk while escorting a convoy to Malta in 1942. While two of the other ships had short lives – cut short by the Washington Naval Treaty – the final ship, Almirante Latorre, would be returned to Chile after the war, for a continuing active career that would last into the 1950s. When finally towed away for scrap in 1959, she was the penultimate survivor of Jutland.<br/><br/>Drawing on extensive archival research, the book begins with an overview of the warships under construction around Europe for foreign customers in August 1914, and how the four ships featured were acquired by the Royal Navy. It then looks at them as manifestations of the international rivalries which directed much of the national budgets of impecunious South American and Balkan states towards armaments. The focus then switches to the British service of the ships actually completed as battleships, and then to the story of the carrier. Although never finished as a battleship, she would play a crucial role in the development of British carrier aviation. Finally, the author traces the stories of the battleships of the Latin-American naval race from the 1920s down to the 1950s.<br/><br/>The stories and back-stories of Agincourt, Erin, Canada and Eagle embrace almost the whole of the twentieth-century battleship era, and they take us down the byways of international naval power, ranging from the Pacific to the Black Sea, and from the line of battle to mutiny and revolution. A fascinating and original story.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.374
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.010
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.109
GPT teacher head0.377
Teacher spread0.268 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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