Bibliographic record
Abstract
The authors examine the institutional and governance framework of modern central banks to determine whether there are lessons that can be applied to the International Monetary Fund's (IMF's) institutional framework. Such a comparison is appealing for two reasons. First, both central banks and the IMF carry out tasks that can be described as "delegated responsibilities." Second, while monetary policy has yielded mixed results in many countries for decades, it has recently enjoyed considerable success in reducing inflation. Substantial changes to the institutional frameworks of central banks have, at least partly, contributed to this success. This raises a simple question: can the lessons learned from modern central banking help to strengthen the governance of the IMF? The authors argue they can. Governance reform would enhance the IMF's decision-making process and make the Fund more transparent and accountable, thus improving the effectiveness of its main instruments – surveillance and lending. The reforms proposed by the authors in this paper should not be viewed as immediately achievable goals; rather, they constitute a set of guiding principles for long-term governance reform.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".