MétaCan
Menu
Back to cohort
Record W4381283284 · doi:10.25071/2561-5467.1028

Stephen McLaughlin, Russian and Soviet Battleships by M. Stephen Salmon

2023· article· en· W4381283284 on OpenAlexvenueno aff
M. Stephen Salmon

Bibliographic record

VenueThe Northern Mariner / Le marin du nord · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryEconomic history

Abstract

fetched live from OpenAlex

The Northern Mariner / Le marin du nord As for Unbroken, it was sent to the Soviet Navy in 1944, as a part of lendlease to the Soviets and returned in 1949.Sadly, a ship which had defied depth charges and all kinds of seas could not remain unbroken -it was scrapped in 1950.Mars's final words regarding his submarine are poignant ones -he was saddened that his boat was reduced to scrap, but at the same time, he was glad that Unbroken had not rusted away in some dockyard.He hoped, that, through the use of scrap metal, Unbroken would continue to serve the RN in some vastly different form.Perhaps Unbroken still sails today, more than 70 years later, in an even more vastly-changed form.This book is worth reading, as it brings to the reader the immediacy of submarine warfare.The reader feels the crew's fear undergoing depth charge attack.Mars communicates life on board a submarine and ashore in a highdanger zone.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: Empirical
Teacher disagreement score0.825
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.022
GPT teacher head0.267
Teacher spread0.245 · 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

Explore more

Same venueThe Northern Mariner / Le marin du nordSame topicIntelligence, Security, War StrategyFrench-language works237,207