MATERIALS FROM CHARLES O. HARDY’S COURSE ON MONEY AND BANKING, ECONOMICS 330, UNIVERSITY OF CHICAGO, 1933–1934
Bibliographic record
Abstract
Charles Oscar Hardy (1884–1948) was a well-known though perhaps not leading monetary and financial economist of his time. He was and is important enough, however, to be remembered and studied a half century later (see Frank G. Steindl, Monetary Interpretations of the Great Depression, Ann Arbor, MI: University of Michigan Press, 1995; J. Ronnie Davis, The New Economics and the Old Economists, Ames, Iowa: Iowa State University Press, 1971; and Allan H. Meltzer, A History of the Federal Reserve, 1913–1951, Chicago, IL: University of Chicago Press, 2003). Educated at Ottawa University, Kansas (AB, 1904) (a private university affiliated with the Baptist Denomination) and the University of Chicago (Ph.D., 1916), he taught at both schools as well as at the University of Iowa. He was Vice President of the Federal Reserve Bank of Kansas City, had a long-term association with the Brookings Institution, and was a frequent advisor to government agencies. Working when the gold standard was in effect, he discerned instability as the likely consequence of excessive gold stocks and resultant credit expansion. An advocate of central-bank monetary management, he worried over limits to its power to create monetary stability because of shifts in the balance of trade and in long-term investment, and called for major reform of the gold standard. Subsequently, he advocated activist monetary and fiscal policy. Hardy also contributed to the development of the theory of risk and uncertainty, a field dominated by his colleague, Frank Knight.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.250 | 0.082 |
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".