<i>Current Federal Reserve Policy under the Lens of Economic History</i>: A Review Essay
Why this work is in the frame
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Bibliographic record
Abstract
This review essay reviews the volume edited by Owen Humpage, Current Federal Reserve Policy under the Lens of Economic History: Essays to Commemorate the Federal Reserve System’s Centennial, and provides a broader perspective on central-banking issues. The papers in the Humpage volume address various aspects of central banking history, money, and private banking, with a focus on putting recent Fed policies in perspective. The topics covered include the role of the central bank as lender of last resort, the effects of open-market operations versus central-bank lending, central-bank independence, the political economy of monetary unions, financial crises, the effects of unconventional monetary policies, commodity monies, and the Canadian financial system as a natural experiment. (JEL E32, E52, E58, G01, G21, G28, N10)
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it