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Record W7052544194

The Rise and Fall of Canadian Military Assistance in the Developing World, 1952â1971

2012· article· en· W7052544194 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsChinaCommunismState (computer science)Latin AmericansPrestigePoliticsVariety (cybernetics)World War IICold war
DOInot available

Abstract

fetched live from OpenAlex

Since the end of the Second World War, military assistance has emerged as an important instrument of international diplomacy. Initially employed by the United States in Europe, Latin America and Asia for a variety of economic and political reasons in the mid-1940s, by the end of the decade American military assistance had been fashioned into a coherent program “whose principal goal was the containment of Communist expansion.” By the mid-1950s, both the Soviet Union and Communist China had responded with their own assistance programs designed to woo the developing states of Asia and Africa. As Britain and France dissolved their colonial empires in the late 1950s, they too chose military aid as an effective way to maintain their links with the post-colonial state and to demonstrate their continued capacity to pursue independent global initiatives. Other states were also attracted by this kind of aid. West Germany, for example, began distributing military assistance in 1960 as part of its efforts to garner international support for its claim to sovereignty.\nCanada’s decision to supply small amounts of military assistance to the developing world owed relatively little to the cold war calculations of the superpowers and the considerations of national prestige that motivated other donors. Though Canadian diplomats recognized the benefits that military assistance might bring to the western world in the early 1950s, they were not especially anxious to divert scarce resources away from Europe towards the handful of small African and Asian states requesting aid. This was particularly true when any Canadian venture was likely to duplicate Washington’s substantial efforts to secure regional allies with promises of military assistance. As a consequence, the Department of External Affairs wasted little time and effort in convincing a reluctant Department of National Defence to accept military assistance as part of its mandate.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.138
Threshold uncertainty score1.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0100.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.016
GPT teacher head0.222
Teacher spread0.206 · 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
Published2012
Admission routes1
Has abstractyes

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