Political Economy Influences Within the Life‐Cycle of IMF Programmes
Why this work is in the frame
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Bibliographic record
Abstract
Increasing attention is being paid to political economy dimensions of the IMF's operations. However, up until now, the literature has lacked a systematic overview of how politics and economics interact in this context. This paper sets out to fill the gap. Its conceptual basis is that of the ‘life cycle’ of an IMF programme. What determines the decision to turn to the Fund for financial assistance, what determines the outcome of negotiations, what determines whether a country will come back to the Fund? Answers to these questions cannot be satisfactorily given by examining economics alone. The paper draws on existing evidence to provide an empirically based discussion of the issues involved. It also points the direction in which future research needs to go. Some of the policy implications of the analysis are also examined.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it