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Record W4384655472 · doi:10.22452/ijcs.vol14no1.5

Unraveling Chinese Bilateral Diplomatic Behavior: Evidence from Post-Coup Sino-Myanmar Relations,a Rational Choice Approach

2023· article· en· W4384655472 on OpenAlexaff
Diya Jiang, Kristína Kironská

Bibliographic record

VenueInternational Journal of China Studies · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsMcGill University
FundersEuropean Commission
KeywordsChinaRational choice theory (criminology)Political sciencePsychologyPositive economicsEconomicsLaw

Abstract

fetched live from OpenAlex

Attempting to understand the strategic motives and geopolitical interests behind Chinese actions in bilateral international relations, this paper examines Beijing’s reaction to the 2021 Myanmar Coup. Adopting a rationalist approach, the paper conducts cost and benefit analysis through game-theoretical lenses and categorizes Chinese interests as expansionary and defensive, both contributing to its potential payoff in bilateral exchanges. Applying the resulted model to the Post-Coup Sino-Myanmar interactions in which Beijing’s attitude shifted from the initial ambiguity to more favorable stance towards the Tatmadaw, the authors find that such shift can be attributed to a changing reality of China’s perceived political and economic outcomes at different time periods. In addition to offering insights into ongoing China-Myanmar relations, this article identifies key patterns of the decision-making process taken by Beijing. It argues that, when countries engage with China bilaterally, they will likely face a more volatile, daring player willing to take more controversial actions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.105
GPT teacher head0.312
Teacher spread0.207 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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