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‘Keen to Foul Their Own Nests’: Contemporary and Historical Criticism of the Permanent Joint Board on Defence of 1940

2022· article· en· W4301398459 on OpenAlexafffundabout
Galen Roger Perras

Bibliographic record

VenueLondon Journal of Canadian Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
FundersUniversity of TorontoUniversity of MelbourneNational Library of AustraliaUniversity of OxfordQueen's UniversityMcGill University
KeywordsPrime ministerHouse of CommonsCriticismEmpireJoint (building)LawElement (criminal law)HistoryPolitical scienceEconomic historyPoliticsEngineering

Abstract

fetched live from OpenAlex

On 17 August 1940, President Franklin Roosevelt met with Canada’s Prime Minister William Lyon Mackenzie King in the town of Ogdensburg, which lies just across the Canadian border in upstate New York. There the two leaders agreed on the formation of the Permanent Joint Board on Defence (PJBD) to advise on policies for the defence and security of the North American continent. The PJBD was commended on all sides, in public at least, not only in the United States and Canada but also in Britain, where the new prime minister, Winston Churchill, speaking in the House of Commons on 20 August, compared the trend towards growing cooperation between the British Empire and the United States to the relentless flow of the Mississippi river. He also referred approvingly to the Permanent Joint Board in his post-war Fulton speech, delivered on 5 March 1946, as an important element in the ‘special relationship’ between the British Empire and the United States. Later commentators, including John Bartlet Brebner, have also seen the Joint Board as a significant part of the ‘North Atlantic Triangle’. However, as this article shows, the PJBD has also attracted plenty of criticism – both contemporary and historical.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.072
GPT teacher head0.259
Teacher spread0.187 · 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.

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

Citations1
Published2022
Admission routes3
Has abstractyes

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