MétaCan
Menu
Back to cohort
Record W2010015155 · doi:10.1080/16161262.2014.896113

Signals in the sea: the value of Ultra intelligence in the Mediterranean in World War II

2014· article· en· W2010015155 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Intelligence History · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBattleGermanScholarshipMediterranean climateMediterranean seaPolitical scienceHistoryEconomyTelecommunicationsAncient historyComputer scienceLawArchaeologyEconomics

Abstract

fetched live from OpenAlex

British decryption of Axis communications through the Ultra secret gave the Allies a substantial intelligence advantage during World War II. While this much is well known, existing scholarship focuses predominantly on Ultra’s impact on the Battle of the Atlantic. This article examines the underexplored role of Allied signals intelligence in the Mediterranean theater with reference to original decrypts of German communications between 1942 and 1943. The Mediterranean Sea was of key strategic significance for Allied and Axis supply lines; Ultra played a significant role in sustaining Allied shipping and impeding the transportation of Axis supplies across the Mediterranean. After an in-depth examination of communications the British were intercepting in the Mediterranean, this article presents three factors necessary for effective use of Ultra, which coalesced in 1942 to allow Ultra to play a significant role in the outcome of the battle over supply lines in the Mediterranean theater.

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.

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)0.016
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0040.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.319
Teacher spread0.267 · 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