Bibliographic record
Abstract
Citation (2015), "List of Contributors", A Research Annual (Research in the History of Economic Thought and Methodology, Vol. 33), Emerald Group Publishing Limited, Bingley, p. vii. https://doi.org/10.1108/S0743-415420150000033006 Publisher: Emerald Group Publishing Limited Copyright © 2015 Emerald Group Publishing Limited Michele Alacevich Loyola University Maryland, Baltimore, MD, USA Pier Francesco Asso University of Palermo, Palermo, Italy Jeff E. Biddle Michigan State University, East Lansing, MI, USA John B. Davis Marquette University, Milwaukee, WI, USA; University of Amsterdam, Amsterdam, Netherlands Robert W. Dimand Brock University, St. Catharines, Ontario, Canada Luca Fiorito University of Palermo, Palermo, Italy J. Daniel Hammond Wake Forest University, Winston-Salem, NC, USA Steven G. Medema University of Colorado Denver, Denver, CO, USA Sebastiano Nerozzi University of Palermo, Palermo, Italy Malcolm Rutherford University of Victoria, Victoria, British Columbia, Canada Scott Scheall Arizona State University at the Polytechnic Campus, Mesa, AZ, USA Carlos Eduardo Suprinyak Cedeplar, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil Book Chapters A Research Annual Research in the History of Economic Thought and Methodology A Research Annual Copyright Page List of Contributors Editorial Board Introduction Part I: Essays The Shaping of Public Economic Discourse in Postwar America: The 1947 Meat Shortage and Franco Modigliani’s Meat Plan The “Subtle Processes of Economic Reasoning”: Marshall, Becker, and Theorizing about Economic Man and Other-Regarding Behavior Bounded Rationality and Bounded Individuality American Institutionalism after 1945 The Genealogy of the Labor Hoarding Concept What to Tell a Graduate Course in Macroeconomics about Keynes Malthus, Utopians, and Economists Part II: From the Vault On John Maynard Keynes’s Anti-Semitism Once Again: A Documentary Note
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.
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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.720 | 0.718 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".