MétaCan
Menu
Back to cohort
Record W4294761296 · doi:10.17323/1996-7845-2022-02-03

China’s Leadership in BRICS Governance

2022· article· en· W4294761296 on OpenAlex
Alissa Xinhe Wang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Organisations Research Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsOkanagan University CollegeUniversity of Toronto
Fundersnot available
KeywordsSummitChinaGlobal governanceDeliberationPolitical scienceCorporate governanceGlobal LeadershipInstitutionSustainable developmentMultilateralismPublic administrationEconomicsPublic relationsManagementPoliticsGeography

Abstract

fetched live from OpenAlex

The BRICS is an international summit institution that provides a platform for the world’s leading emerging economies to discuss issues of global governance from a development-centered perspective. This article examines of China’s leadership role in the BRICS, drawing on quantitative indicators of China’s performance within the BRICS since its first summit in 2009, to the most recent summit in 2021. This arti cle also develops a model of leadership based on quantitative performance measures of deliberation, decision-making, and compliance. This analysis shows that China is predominantly a facilitative and exemplary leader. Its leadership focuses on shaping BRICS discussions on its priority subjects, particularly development and macroeconomics, in addition to leading by positive example through achieving high compliance with its summit commitments.

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.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.856
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0190.000

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 head0.277
GPT teacher head0.428
Teacher spread0.151 · 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