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Record W4224937980 · doi:10.22459/pi.2022.08

The sinking of the Arandora Star

2022· book-chapter· en· W4224937980 on OpenAlexaboutno aff

Bibliographic record

VenueANU Press eBooks · 2022
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsStar (game theory)GeologyAstrophysicsPhysics

Abstract

fetched live from OpenAlex

The sinking of the Arandora StarJohn decided they should journey home via the United States of America (USA).He wanted to visit his newly married sister Nancy on the West Coast.Cecily did not believe they had enough money to do this and, at the time, nobody was allowed to take more than 10 pounds out of England.John always seemed to live 'a halfpenny or sixpence beyond his income, believing that it would increase, or his financial needs would in some other way be provided for -which always seemed to happen', Cecily observed over the years. 1 They paid for everything in advance and counted on Nancy putting them up, for they had no spare money to stay anywhere else.They obtained a passage on the British Cunard Line's Samaria that left from Liverpool on 29 June 1940, with 788 passengers bound for New York, escorted by a destroyer and a plane.Thirty miles behind them was Blue Star Line's Arandora Star.The two liners travelled in convoy.The fate of the two liners remained indelibly in Cecily's mind.The Arandora Star had been a luxury liner sailing from Southampton in the 1930s with a 400-passenger capacity.When war broke out, it was called up for trooping duties and refitted to carry 1,700 men.On board was a full complement of German and Italian prisoners of war, headed for Canadian internment camps.On the morning of day three, 2 July 1940, passengers on the Samaria noticed the absence of the Arandora Star.They were now off the north-west coast of Ireland, and the ship had last been seen across 1 Cecily, 39.

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: Other · Consensus signal: Other
Teacher disagreement score0.049
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0120.003
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0490.010

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 head0.018
GPT teacher head0.199
Teacher spread0.180 · 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
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
Published2022
Admission routes1
Has abstractyes

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