Bangladesh and New Development Bank (<scp>NDB</scp>): Accession and after, money and more
Bibliographic record
Abstract
Abstract This article examines Bangladesh's new membership in the BRICS‐led New Development Bank (NDB), as the Bangladesh country study for the Special Section on ‘The Evolution of New Development Bank: A Decade Plus in the Making’, in Global Policy journal. In September 2021, Bangladesh became the first country outside of the original BRICS founding members to join NDB. The analysis details how Bangladesh went about joining NDB, especially the geopolitics and diplomacy between Bangladesh and the key NDB founding members (India, China, Russia) which supported Bangladesh's entry; why Bangladesh joined NDB, the main motivations or interests; and how NDB membership is turning out for Bangladesh after acceding to the Bank, what are Bangladesh and the Bank actually doing together, are they realizing the main opportunities as intended, or are outcomes not as intended. Throughout the analysis, we assess how Bangladesh's membership in NDB compares to its multi‐decade memberships in the World Bank, Asian Development Bank (ADB), Islamic Development, and its newer relations with the other new China‐supported multilateral bank, Asian Infrastructure Investment Bank (AIIB). This study combines primary data gathered from field research, primary desk research, and cross‐verification with the related data, and secondary sources.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".