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Record W2999731846 · doi:10.1080/10220461.2019.1705889

A decade of G20 summitry: Assessing the benefits, limitations and future of global club governance in turbulent times

2019· article· en· W2999731846 on OpenAlexaff
Axel Berger, Andrew F. Cooper, Sven Grimm

Bibliographic record

VenueSouth African Journal of International Affairs · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsBalsillie School of International AffairsUniversity of Waterloo
Fundersnot available
KeywordsClubCorporate governanceLegitimacyGlobal governancePolitical scienceFinancial crisisCriticismGovernment (linguistics)Political economyPublic administrationPoliticsEconomicsFinanceLaw

Abstract

fetched live from OpenAlex

In 2008 the G20 met for the first time at the level of heads of state and government in the midst of the global financial crisis. In the following year the G20 coordinated collective actions that helped to contain the worst effects of the financial crisis. A decade later, the G20 is dealing with an underlying systemic crisis fuelled by challenges to rules-based international cooperation from major countries as well as criticism regarding its effectiveness and legitimacy. This article introduces a special issue that focuses on the institutional evolution and reform of the G20, its effectiveness in dealing with global challenges and the specific role of rising powers in this club governance structure. The contribution of this special issue lies in its emphasis on institutional perspectives and its discussion of the social purpose of club governance after more than ten years of G20 summitry.

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)0.011
metaresearch head score (Gemma)0.018
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 score0.011
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.010
Scholarly communication0.0110.008
Open science0.0010.007
Research integrity0.0020.003
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 head0.012
GPT teacher head0.229
Teacher spread0.216 · 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

Citations18
Published2019
Admission routes1
Has abstractyes

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