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Record W4323924510 · doi:10.25071/2561-5467.989

Hrovje Spajic, Schnellbootwaffe, Adolf Hitler’s Guerrilla War at Sea: S-Boote 1939- 45 by Michael Razer

2023· article· en· W4323924510 on OpenAlexvenueaboutno aff
Michael Razer

Bibliographic record

VenueThe Northern Mariner / Le marin du nord · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geopolitical and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsArtGuerrilla warfareAncient historyArt historyHistoryPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

Jane's Fighting Ships 1960-61, claiming to be based on "official sources", includes categories DE and DER, Escort Ship (Destroyer Escort) and Radar Picket Escort Ship (Destroyer Escort Radar).(301) While ships of the DE category were mass produced with run-of-the-mill characteristics; by contrast, DER would be presumably include ships like USS Liberty and Pueblo and interesting modern equivalents.By excluding DE-related ships, the author misses a big piece of the story of the Anglo-American relationship during the Second World War in terms of tonnage and large numbers of relatively large ships.The effectiveness of the common naval strategy was based on a degree of interconnectedness among Canadian, US and British shipyards producing a high degree of cooperation in building and transferring escort vessels among members of the Allies.This story is only told in a fragmentary way in this largely American-centric account, which misses the value of that effort and lessons for the future.In that sense, the book is isolationist and regressive.Inclusion of DE class would also have produced better coverage of Allied cooperation, which was the real story of war at sea in the late-twentieth century and which has lessons for the future.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.747
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.014
GPT teacher head0.249
Teacher spread0.235 · 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 routes2
Has abstractyes

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