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Record W2063441493 · doi:10.1163/156805811x616138

China and the Iranian Nuclear Crisis: Between Ambiguities and Interests

2011· article· en· W2063441493 on OpenAlexaff
Djallil Lounnas

Bibliographic record

VenueEuropean Journal of East Asian Studies · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Sanctions and International Relations
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsBeijingChinaSanctionsState (computer science)Political scienceAsian studiesEast AsiaForeign policyNuclear weaponEconomyInternational tradeDevelopment economicsEconomicsLawPolitics

Abstract

fetched live from OpenAlex

Abstract This article analyses, the complex relationship between Tehran, Beijing and Washington on the Iranian nuclear issue. Indeed, China's policy towards Iran has often been described as ambiguous, in supporting Washington, on the one hand, while protecting Tehran, on the other hand. In this article, we argue that, in fact, Beijing policy vis-a-vis Tehran depends on the state of its relationships with Washington. Indeed, a closer analysis shows that China is using Iran as a bargaining chip with the United States on, among others, two key security issues, i.e., Taiwan and the oil supply. The guarantee of a secured oil supply from the Middle-East in addition to a comprehensive policy of the US with regard to Chinese security interests in Taiwan as well as the use of smart sanctions against Tehran, which would thus take into account, to a certain extent, Beijing economic interests in Iran, are, indeed, the guarantee of Beijing's support to the US policy towards Iran.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

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 studies0.0010.004
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.104
GPT teacher head0.233
Teacher spread0.129 · 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 designQualitative
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

Citations13
Published2011
Admission routes1
Has abstractyes

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