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Record W2036291947 · doi:10.2478/ijas-2013-0005

China and Global Financial Governance: Centripetalism, Elevation and Disparity

2013· article· en· W2036291947 on OpenAlexaff
Falin Zhang

Bibliographic record

VenueInternational Journal of Area Studies · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsMcMaster University
Fundersnot available
KeywordsChinaFinancial crisisCorporate governanceHegemonyGlobal governanceElevation (ballistics)PoliticsCoherence (philosophical gambling strategy)Political scienceFinancial systemEconomic systemBusinessEconomicsFinance

Abstract

fetched live from OpenAlex

Abstract In the post-2008 global financial crisis era, the global financial governance system has experienced dramatic changes and a comparatively new network system comes into the fore. Meanwhile, China’s extraordinary performance during the crisis by virtue of its unique political and economic systems urged the elevation of its role in the new system. Against this backdrop, three words are appropriate to describe the new system and China’s role in it in the post-crisis era-centripetalism (rather than centrifugalism), elevation (rather than domination) and disparity (rather than coherence). Centripetalism means that patched global financial governance network system has more force to coordinate states and related international organizations. Elevation refers to a relatively more important role of China in the new system, but, by no means, a dominant (or hegemonic) role. China is an indispensable participant rather than a leading power in global financial governance. Disparity indicates the differed strategies of China in various global financial governance institutions or toward different events.

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 score0.005
Threshold uncertainty score0.023

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 studies0.0010.008
Scholarly communication0.0030.002
Open science0.0000.004
Research integrity0.0000.001
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 head0.023
GPT teacher head0.256
Teacher spread0.233 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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