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Record W4406824145 · doi:10.25071/2561-5467.1254

The Battle of the Atlantic, the “Air Gap,” and the Delay in Allocating Liberators to the Royal Canadian Air Force

2025· article· en· W4406824145 on OpenAlexvenueaboutno aff
Christopher M. Bell

Bibliographic record

VenueThe Northern Mariner / Le marin du nord · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBattleAeronauticsPolitical scienceOperations researchHistoryEngineeringAncient history

Abstract

fetched live from OpenAlex

The gravest crisis of the Battle of the Atlantic came in the latter part of 1942 and early 1943 when German submarine forces concentrated in the central ocean, the “air gap” beyond the reach of shore based Allied maritime air forces. More capable aircraft were available, but not assigned to the maritime role until the spring of 1943. This article proposes a new methodology for understanding the reasons for the delay by examining the complex interactions among the navies, air forces, and politicians of the three Allied powers primarily responsible for trade defence in the Atlantic Ocean – Great Britain, the United States, and Canada – and exploring the special difficulties faced by the Royal Canadian Air Force.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
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 head0.006
GPT teacher head0.220
Teacher spread0.214 · 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 designObservational
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
Published2025
Admission routes2
Has abstractyes

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