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Record W4206700794 · doi:10.26443/firr.v9i1.5

Willful Blindness: Franco-American Relations and the Escalation of the Vietnam War

2019· article· en· W4206700794 on OpenAlexvenueno aff
Olivier Bergeron-Boutin

Bibliographic record

VenueFlux International Relations Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVietnam WarGovernment (linguistics)Political scienceBlindnessEconomic historyPerspective (graphical)Point (geometry)World War IILawPolitical economyHistorySociologyMedicine

Abstract

fetched live from OpenAlex

The long and stable Franco-American diplomatic rapport was undermined throughout the American escalation of the Vietnam War. This paper specifically examines French President Charles de Gaulle’s increasing discontent at his ally’s involvement in Southeast Asia and analyzes the decisions of successive American presidents to ignore him. Beginning in 1961, with the inauguration of American President John F. Kennedy, the paper proceeds chronologically to 1964, by which point transatlantic relations had worsened considerably as a result of de Gaulle’s growing confrontation of the Indochina question. Using archival diplomatic documents from both countries, this paper seeks to explain why the United States government refused to comply with De Gaulle’s requests. This papers makes two main conclusions: American policy makers were willfully blind to their ally’s suggestions and the French proposal for the neutralization of Vietnam was not realistic. These findings are supported by various policy decisions made leading up to the war, relying heavily on primary sources to demonstrate the failings of both the French proposal and the American willingness to consider the perspective of a crucial ally.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.125
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.007
Scholarly communication0.0050.002
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.284
Teacher spread0.275 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueFlux International Relations ReviewSame topicVietnamese History and Culture StudiesFrench-language works237,207