2011 Triennial Surveillance Review - External Study - IMF and Global Financial Stability
Bibliographic record
Abstract
External study prepared by John Palmer, Chair, Toronto Leadership Centre, former Superintendent, Office of the Superintendent of Financial Institutions, Canada, former Deputy Managing Director Monetary Authority of Singapore, former Canadian Managing Partner of KPMG and Yoke Wang Tok, Former Senior Advisor to the IMF Executive Director representing ASEAN, Nepal, Fiji and Tonga and former Principal Economist, Monetary Authority of Singapore: This report aims to provide an independent view of how the Fund is discharging its multilateral surveillance responsibilities, in particular its contribution to global financial stability and crisis prevention, working in coordination with other relevant international groupings/institutions such as the FSB and BIS. As we emerge from the global financial crisis (GFC), the Fund has regained much of its credibility and relevance. The GFC caught many, including the IMF, by surprise. Since then, the Fund has done considerable self-analysis and taken active steps to strengthen its surveillance and policy advice and to improve traction with policy makers. The IEO report on the Fund’s performance in the run-up to the financial and economic crisis identified various shortcomings that needed to be addressed. One of its key findings was the inability of the Fund to connect-the dots, to deliver hard-hitting messages and the difficulty experienced by the Fund in thinking beyond mainstream/official views. Many of the IEO’s findings have relevance to this review.
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 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 | 0.019 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.018 | 0.020 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".