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Record W4400139452 · doi:10.25071/2561-5467.1189

Bernard Edwards, Running the Gauntlet: Cargo Liners Under Fire 1939–1945 by Timothy J. Demy

2024· article· en· W4400139452 on OpenAlexvenueno aff
Timothy J. Demy

Bibliographic record

VenueThe Northern Mariner / Le marin du nord · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAeronauticsEngineeringForensic engineering

Abstract

fetched live from OpenAlex

Prior to the Second World War, the British Merchant Navy dominated global commercial shipping.Comprised of more than 4000 merchant ships, these ships accounted for almost two-thirds of global commercial shipping.Most prominent, and at the top of the fleet were the fast cargo liners that maintained regular, advertised service between ports.They were capable of twelve knots, were sturdily built, and well-maintained.They were officered by careerminded sailors who frequently had many years of dedicated service under one company flag.These ships became crucial to Britain's economic survival and their speed enabled them to sail alone, taking risks that other ships could not and would not assume.Bernard Edwards writes a fast-moving and engaging narrative of the story of these remarkable ships during the war years.The author of many books on the sea, Edwards is well-suited to write on this topic.Having spent more than forty years at sea and commanded ships in global trade, he understands well the challenge faced by the ships that were willing to "run the gauntlet" and take their chances against the threat of Nazi raiders, warships, and U-boats.Edwards presents his story in fifteen chapters filled with first-person accounts and eight pages of black and white photos.Rather than presenting an overall history of the British cargo liners during the war years, the author presents vignettes from that history, offering stories of success and failure in evading destruction.In so doing, he illustrates the breadth and variety of wartime experiences of these ships and crews.The story begins with the 30 September 1939 sinking of the SS Clement by the German pocket battleship Admiral Graf Spee very close to Recife, Brazil, and far from the growing war in the Western Approaches.Eight months later, Clan Macalister was sunk after delivering ALCs to Dunkirk and while attempting take British troops off the beaches.While not technically one of the "little ships," Clan Macalister had responded quickly to the call for assistance to the Royal Navy in Operation Dynamo.Three months after the Dunkirk evacuation, Blue Star Line's Auckland Star was completing a voyage from Sydney, Australia, with 11,000 tons of frozen meat, grain, steel, and lead for Britain's war effort.Eighty miles off Valentia Island, Co. Kerry, it was zig-zagging at 16 ½ knots when it was torpedoed by the famous U-99, commanded by Kapitänleutnant Otto Kretschmer, who would later become Germany's top U-boat ace.From the North Atlantic to South Atlantic, to South Pacific, and Indian

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)0.001
metaresearch head score (Gemma)0.002
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: Review · Consensus signal: none
Teacher disagreement score0.103
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0130.004

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 head0.013
GPT teacher head0.252
Teacher spread0.239 · 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
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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