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Record W4323322459 · doi:10.25071/2561-5467.961

Michael Alpert, The Spanish Civil War at Sea, Dark and Dangerous Waters by Robert L. Shoop

2023· article· en· W4323322459 on OpenAlexvenueno aff
Robert L. Shoop

Bibliographic record

VenueThe Northern Mariner / Le marin du nord · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHispanic-African Historical Relations
Canadian institutionsnot available
Fundersnot available
KeywordsOceanographySpanish Civil WarEnvironmental scienceHistoryGeologyArchaeology

Abstract

fetched live from OpenAlex

The 1936-39 Spanish Civil War continues to attract historians and students of revolutions and military actions.The land and air campaigns have been well-documented, but not the naval aspects of the Spanish Civil War, at least in English.With The Spanish Civil War At Sea: Dark and Dangerous Waters, Michael Alpert, an historian who has published several previous works on various aspects of the Spanish Civil War, fills that gap with a comprehensive narrative of that tragic war's maritime aspects.(While Alpert uses the standard term "Republican(s)" for the forces loyal to the Spanish government in 1936, he describes the forces commanded by Francisco Franco that challenged the Spanish government as "Insurgent(s)" rather than the more familiar term "Nationalist(s)."This review will use Insurgent(s) for consistency with the text.)Civil wars, by their nature, split a nation's population into competing factions, including that nation's military.The Spanish Civil War was no exception, splitting the Spanish Navy into Republican and Insurgent navies.It should be remembered that the Spanish fleet was relatively new in 1936, having had to be rebuilt after near total destruction by the US Navy in the 1898 Spanish-American War in the naval battles of Manila Bay and Santiago.Moreover, Spain endured years of internal turmoil prior to the outbreak of civil war.The Spanish Navy split along rank lines: the enlisted ranks and NCOs tended to side with the Republicans, while officers and the Naval General Staff sided with the Insurgents.The two sides split the combat vessels: the Republicans had one battleship, three cruisers, 13 destroyers plus three more destroyers that entered service during the war, 12 submarines (the entire Spanish submarine fleet), seven torpedo boats, one gunboat, and four armed Coast Guard cutters.The Insurgents commanded one battleship, four cruisers, three minelayers, five torpedo boats, three gunboats, and five Coast Guard Cutters.While the Republican Navy seemed to have a numerical advantage over the Insurgent Navy, the Republicans faced major difficulties.Their submarines were old and the torpedoes they fired were frequently unreliable (a fact which plagued the submarines of many navies in the Second World War).Also, the Republican naval

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.290
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.185
Teacher spread0.172 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

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