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Record W7039475334

Mackenzie King and the North Atlantic Triangle in the Era of Munich, 1938–1939

2022· article· en· W7039475334 on OpenAlexaboutno aff

Bibliographic record

VenueUCL Discovery (University College London) · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsDominionAppeasementBritish EmpireImperial unit systemPrime ministerFirst world warVirtueWorld War II
DOInot available

Abstract

fetched live from OpenAlex

This article looks at relations between Britain, the United States and Canada in the years leading up to the Second World War in order to ascertain the extent to which a North Atlantic Triangle can be said to have existed at the outbreak of war in September 1939. Drawing upon the author’s contention that an Anglo-American ‘tacit alliance’ was formed against Germany, Italy and Japan during President Franklin Roosevelt’s second term, it argues that the Canadian Prime Minister, William Lyon Mackenzie King, played an important part in this development by virtue of Canada’s position as the northern neighbour of the United States and the senior Dominion of the British Empire and that this ‘tacit alliance’ went hand in hand with a ‘North Atlantic Triangle’ between these three governments. The article first analyses the evolution of Mackenzie King’s relationships with Franklin Roosevelt and Neville Chamberlain in the 1930s. It then examines three key elements in the triangular relationship between Canada, the United States and Britain in 1938–9: the conclusion of an Anglo-American trade agreement in 1938; British appeasement policy and Roosevelt’s role during the Munich crisis of 1938; and the British Royal Visit to the United States in June 1939.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.753

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.009
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.184
Teacher spread0.176 · 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
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
Published2022
Admission routes1
Has abstractyes

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