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Record W832159768 · doi:10.21236/ada615584

Allies of a Kind: Canadian Army-US Army Relations and the Korean War, 1950-1953

2015· report· en· W832159768 on OpenAlexaboutno aff
Allan R. Millett

Bibliographic record

Venuenot available
Typereport
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHistoryAeronauticsManagementLawEngineeringEconomics

Abstract

fetched live from OpenAlex

Abstract : The international mobilization to save the Republic of Korea (ROK) in June 1950 brought the Canadian Army into its first major sustained contact with the US Army. The experience proved generally positive and laid the foundation for cooperation for hemispheric and European defense during the Cold War. The relationship of the 25th Canadian Infantry Brigade Group (CIBG) in Korea and its rear echelon in Japan to the US Army was, however, occasionally strained. The major clash of military cultures between Canadians and Americans occurred in the Japanese domain of the US Far East Command (FECOM) and US Army Forces Far East, not in the US Eighth Army. The result was grudging accommodation and wary compromises that kept alive the Canadian and American partnership. When the United Nations called for its member nations to provide ground forces to fight the North Korean Army, the US Department of Defense tried to set the terms by which FECOM would accept foreign troops for the Eighth Army. The basic criteria were reasonable enough. The forces should be of brigade or regimental size and of proven effectiveness. The forces should be supportable by their national armies and the US Army. The logistical support agreements should be negotiated for cost sharing, to be paid later. The existing military aid programs would remain in place. The Joint Chiefs of Staff (JCS) knew which armies met the criteria: Great Britain, Australia, New Zealand, Pakistan, and Canada.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.625

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0140.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.041
GPT teacher head0.303
Teacher spread0.263 · 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
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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