The Democratic Accountability of the European Central Bank: A Comment on Two Fairy‐tales
Bibliographic record
Abstract
The European Central Bank (ECB) is widely considered to be (legally) independent. Buiter (1999) critizes the ECB for its lack of democratic accountability, which he does not define in a very precise way. Issing (1999) replies to some of the points raised by Buiter and argues that the ECB is both accountable and transparent. We first outline the concept of democratic accountability of central banks, before we comment on some of the disagreements between Buiter and Issing. Furthermore, we compare the legal accountability of the ECB with those of some other central banks (Bank of Canada, Bank of Japan, Bank of England and the Federal Reserve System).
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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 | 0.037 | 0.108 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.021 |
| Scholarly communication | 0.017 | 0.016 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.084 | 0.073 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".