Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Milton Friedman is widely regarded as one of the most influential economists of the twentieth century. Although he made many important contributions to both economic theory and policy - most clearly demonstrated by his development of and support for monetarism - he was also active in various spheres of public policy, where he more often than not pursued his championing of the free market and liberty. This volume assesses the importance of the full range of Friedman's ideas, from his work on methodology in economics, his highly innovative consumption theory, and his extensive research on monetary economics, to his views on contentious social and political issues such as education, conscription, and drugs. It also presents personal recollections of Friedman by some of those who knew him, both as students and colleagues, and offers new evidence on Friedman's interactions with other noted economists, including George Stigler and Lionel Robbins. The volume provides readers with an up to date account of Friedman's work and continuing influence and will help to inform and stimulate further research across a variety of areas, including macroeconomics, the history of economic thought, as well as the development and different uses of public policy. With contributions from a stellar cast, this book will be invaluable to academics and students alike. Contributors to this volume - Robert D. Auerbach,The University of Texas at Austin Nicholas Barr, London School of Economics Vincent Barnett, Research Fellow William A. Barnett, University of Kansas and Center for Financial Stability Peter J. Boettke, George Mason University Lawrence A. Boland, Simon Fraser University Michael D. Bordo, Rutgers University Michael J. Boskin, Stanford University Marcel Boumans, University of Amsterdam and Erasmus University Rotterdam Russell S. Boyer, University of Western Ontario Rosolino Candela, George Mason University Gregory C. Chow, Princeton University Robert A. Cord, researcher in economics Selwyn Cornish, Australian National University Harris Dellas, University of Bern Gerald P. Dwyer, Clemson University Neil R. Ericsson, Federal Reserve System Craig Freedman, The Australian School of Business Roger W. Garrison, Auburn University J. Daniel Hammond, Wake Forest University Arnold C. Harberger, University of California, Los Angeles G.C. Harcourt, University of Cambridge and University of Adelaide David F. Hendry, Oxford University Robert L. Hetzel, Federal Reserve Bank of Richmond Stedman B. Hood, PlateJoy Inc. Susan Howson, University of Toronto Douglas A. Irwin, Dartmouth College Morris M. Kleiner, University of Minnesota Peter Kriesler, University of New South Wales Eugene Lerner, Hightower Investment Advisors James R. Lothian, Fordham University Robert E. Lucas, Jr., University of Chicago Bennett T. McCallum, Carnegie Mellon University Allan H. Meltzer, Carnegie Mellon University and Stanford University Patrick Minford, Cardiff University Edward Nelson, University of Sydney J.W. Nevile, University of California, Berkeley Thomas I. Palley, AFL-CIO Sylvie Rivot, University of Mulhouse John J. Seater, Boston College Richard Selden, University of Virginia John D. Singleton, Duke University Scott B. Sumner, Bentley University George S. Tavlas, Bank of Greece Mark Thornton, Ludwig von Mises Institute Paul Turpin, University of the Pacific K. Vela Velupillai, University of Trento
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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