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Record W2995407270 · doi:10.1111/1758-5899.12767

The Asian Infrastructure Investment Bank – New Multilateralism: Early Development, Innovation, and Future Agendas

2019· article· en· W2995407270 on OpenAlex

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

VenueGlobal Policy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsYork University
Fundersnot available
KeywordsInvestment bankingMultilateralismInvestment (military)Political scienceEconomicsFinancePoliticsLaw

Abstract

fetched live from OpenAlex

Analysts across the disciplines have started to address the development and agenda of the Asian Infrastructure Investment Bank (AIIB), however the collective understanding of major aspects of the AIIB's institutional evolution, and related multilateral cooperation and international contestation, remain fuzzy and fragmented. This Introductory article discusses how the AIIB has progressed so rapidly in three years, and provides an overview of the unique contributions of the 13 essays in this collection, and of the ways the essays complement one another. Focusing on the main trends and patterns in the AIIB's early development, four essays address major overarching themes that reflect the multilateral character of the Bank, and nine essays provide member‐country or regional perspectives on the new Bank, highlighting variations and complementarities in interests, ideas, and priorities among the broader membership of the Bank. The Introduction concludes with some implications for future research, and for AIIB policy and programming that can be drawn from the essays.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.872
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.009
GPT teacher head0.291
Teacher spread0.281 · 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