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Record W2586523059 · doi:10.1111/1758-5899.12396

New Multilateral Development Banks: Opportunities and Challenges for Global Governance

2017· article· en· W2586523059 on OpenAlexaff
Hongying Wang

Bibliographic record

VenueGlobal Policy · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsInvestment bankingBusinessCorporate governanceInvestment (military)Scale (ratio)Complement (music)FinanceFinancial systemEconomicsPolitical scienceGeography

Abstract

fetched live from OpenAlex

Abstract Is the creation of the New Development Bank (NDB) and the Asian Infrastructure Investment Bank (AIIB) a challenge for the World Bank and other traditional multilateral development banks (MDBs)? This paper provides an initial assessment of the potential benefits and risks of NDB and AIIB by examining their motivations, scale, structures, rules and first projects. It identifies areas in which the new MDBs can complement the World Bank and other traditional MDBs and discusses ways in which they can undermine the latter. It suggests ways in which the two types of MDBs can further their cooperation in development financing.

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)0.019
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0150.010
Open science0.0010.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0110.001

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 head0.127
GPT teacher head0.375
Teacher spread0.248 · 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 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

Citations233
Published2017
Admission routes1
Has abstractyes

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