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Record W2910005302

Structural Dissonance: The U.S.-PRC Defense Relationship, 1979-1989

2018· article· en· W2910005302 on OpenAlexvenueno aff
Eric Setzekorn

Bibliographic record

VenueJournal of military and strategic studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsBureaucracyPolitical scienceState (computer science)PoliticsForeign policyMilitary threatNational securityGovernment (linguistics)Power (physics)ChinaPublic administrationAgency (philosophy)LawPolitical economySociology
DOInot available

Abstract

fetched live from OpenAlex

In the decade between U.S. diplomatic recognition of the People’s Republic of China (PRC) in 1979 and the Tiananmen Massacre in 1989, the U.S. Department of Defense (DoD) pursued a military engagement policy with the People’s Liberation Army (PLA). The 1979-1989 U.S.-PRC defense relationship was driven by a mutually shared fear of the USSR, but U.S. policymakers also sought to encourage the PRC to become a more deeply involved in the world community as a responsible power. Beginning in the late 1970s, the U.S. defense department conducted high level exchanges, allowed for the transfer of defense technology, promoted military to military cooperation and brokered foreign military sales (FMS). On the U.S. side, this program was strongly supported by National Security Advisor Zbigniew Brzezinski and Secretary of State Alexander Haig, who worked to push skeptical elements in the U.S. defense bureaucracy. By the mid-1980s, this hesitancy had been overcome and the defense relationship reached a high point in the 1984-1986 period, but structural problems arising from the division of authority within the PRC’s party-state-military structure ultimately proved insurmountable to long-term cooperation. The 1979-1989 U.S.-PRC defense relationship highlights the long-term challenges of pursuing military engagement with fundamentally dissimilar structures of political authority.The views expressed are the personal opinions of the author. They do not represent the position of the U.S. Army Center of Military History, or any other agency of the federal government.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.364

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0170.006
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0030.006
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 head0.092
GPT teacher head0.340
Teacher spread0.248 · 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 designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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