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Record W2122311181 · doi:10.1162/jcws.2009.11.1.57

Beyond Betrayal: Beijing, Moscow, and the Paris Negotiations, 1971–1973

2009· article· en· W2122311181 on OpenAlexaff
Lorenz M. Lüthi

Bibliographic record

VenueJournal of Cold War Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsVietnameseOffensiveChinaBeijingBetrayalPolitical scienceVietnam WarNegotiationDemocracyEconomic historyRenminbiDevelopment economicsHistoryLawEconomicsPoliticsManagement

Abstract

fetched live from OpenAlex

Contrary to later Vietnamese allegations, China did not “sell out” the Democratic Republic of Vietnam (DRV) during the last two years of the Paris negotiations (1971–1973). North Vietnamese, Chinese, Soviet, East European, and American sources show that Hanoi could have gotten from Washington an agreement similar to the final Paris Agreement (January 1973) as early as the spring of 1971. Sino-American rapprochement did not help the United States in the negotiations, as claimed by the North Vietnamese, because the Chinese side made no concessions at all on Vietnam. In fact, China increased military aid to the DRV. Similarly, U.S.-Soviet detente did not damage the North Vietnamese effort, although Moscow unsuccessfully tried to mediate between Hanoi and Washington. In the end, U.S. success in rebuffing the DRV's Easter Offensive and Hanoi's miscalculations about U.S. domestic developments in 1972 prolonged the Vietnam War unnecessarily.

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)0.002
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: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.009
Scholarly communication0.0070.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.022
GPT teacher head0.323
Teacher spread0.301 · 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

Citations30
Published2009
Admission routes1
Has abstractyes

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