The Asian Infrastructure Investment Bank – New Multilateralism: Early Development, Innovation, and Future Agendas
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".