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Record W2910515406 · doi:10.26522/gbuujh.v3i0.1691

Vietnamese Farmers That Changed the World: The Impact of the Vietnam War on the Cold War

2018· article· en· W2910515406 on OpenAlexvenueno aff
Michael David Martignago

Bibliographic record

Venuethe general brock university Undergraduate journal of history · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVietnam WarVietnamesePolitical scienceCold warMilitary operations other than warAsymmetric warfareNationalismEconomic historySpanish Civil WarForeign policyWorld War IIStrategic Hamlet ProgramDevelopment economicsPresidential systemPolitical economyLawHistorySociologyPoliticsEconomics

Abstract

fetched live from OpenAlex

The Vietnam War was the quintessential Cold War conflict between the United States and the Sino-Soviet supplied, nationalistic North Vietnamese. This war saw the world’s most wealthiest and dominant military force suffer a long, drawn out defeat to a poverty-stricken society of farmers, armed with nothing but an unyielding nationalism and outdated weaponry. This paper examines the United States’ involvement in Vietnam throughout the Vietnam War and also explores the ways in which the Vietnam War affected the Cold War. Beginning with President Harry S. Truman in 1945 and ending with President Gerald Ford in 1975, this paper examines the motivations behind each of the six United States Presidential Administrations during the Vietnam War and gives an in-depth explanation for the crucial decisions that were made by the United States Government over the course of the war. The effect that these foreign policy decisions and directives had on the Cold War atmosphere is also heavily analyzed. The faults and failures of the United States that led to their humiliating defeat in Vietnam consequently altered the Cold War atmosphere. In order to fully understand the Cold War, it is necessary to understand the Vietnam War and its impact on United States foreign policy.

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 categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0060.003
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.261
Teacher spread0.229 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2018
Admission routes1
Has abstractyes

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