Macroprudential Policy on an Uneven Playing Field: Supranational Regulation and Domestic Politics in the EU's Dependent Market Economies
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Central bankers and financial regulators in East Central Europe and the Balkans regularly employed macroprudential policy before the global financial crisis and continue to be among its most active proponents in the European Union. We draw upon the Dependent Market Economy framework to explore how the EU's five DMEs – the Czech Republic, Hungary, Poland, Romania, and Slovakia – have used macroprudential policy to manage the uneven distributional effects of financial globalization and European integration. We contend that while structural and EU‐specific institutional factors define the available policy space, policy choices within that space depend upon how domestic actors translate macroprudential policies into their local contexts. Overall, our analysis highlights the social impact and challenges to European integration of heavy DME reliance on macroprudential policy making, especially when motivated by domestic financial nationalism.
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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 | 0.002 | 0.001 |
| 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) | 0.000 | 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