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Record W3177277096 · doi:10.1111/1758-5899.12935

Regime Complexity and Complex Foreign Policy: China in International Development Finance Governance

2021· article· en· W3177277096 on OpenAlexaff
Hongying Wang

Bibliographic record

VenueGlobal Policy · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsChinaCorporate governanceGovernment (linguistics)Foreign policyPolitical scienceGlobal governanceFragmentation (computing)BusinessEconomic systemEconomicsFinancePolitics

Abstract

fetched live from OpenAlex

Abstract This paper examines China’s involvement in the governance of international development finance (IDF), analyzes its approach to the IDF regime complex, and explains its strategic policy incoherence. It shows that in recent decades China has actively engaged with the elemental IDF regimes at multiple levels – global, regional, cross‐regional, subregional, and bilateral. It argues that the Chinese government has been strategically incoherent in its policy toward IDF governance, lending support to competing models and norms. China’s ‘forum linking’ strategy with regard to multilateral development banks has enhanced international cooperation while its unconventional bilateral development assistance programs have facilitated ‘forum shopping’ by the recipient countries, thus undermining the traditional IDF framework. There are multiple sources of China’s strategic policy incoherence. Besides the country’s multiple identities and complex interests, this paper highlights the impact of the fragmented nature of the regime complex and Chinese perception of this fragmentation.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.036
GPT teacher head0.340
Teacher spread0.304 · 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 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

Citations8
Published2021
Admission routes1
Has abstractyes

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