THE HISTORY OF ECONOMIC THOUGHT FROM THE VIEWPOINT OF HES PRESIDENTIAL ADDRESSES
Bibliographic record
Abstract
The History of Economics Society (HES) has traveled a long way throughout its fifty conferences, from the first one organized by Warren Samuels and Vincent Tarascio on May 30 and 31, 1973, in Chicago, to the fiftieth annual meetings that took place on June 23 to 25, 2023, in Vancouver, Canada. This journey can be analyzed in different ways, and here we focus on the presidential addresses delivered as a guide to our analysis. From the conference programs we identified a total of forty-four presidential addresses: the first to appear on the conference program was Vincent Tarascio’s speech on Vilfredo Pareto, on the second day of the Boston conference in 1975. Since 1975, presidential addresses have become a regular feature of the conference, with rare exceptions such as the 1977 Irvine, CA, conference or in the recent years when Marcel Boumans’s presidential address was postponed from 2020 to 2022 due to the COVID-19 pandemic. Of the forty-four presidential addresses in the history of HES, we analyzed the forty-one that were published in scholarly journals (see Table 1). However, we could not find whether two presidential addresses—specifically Joseph Spengler, HES conference 1976, Chicago; and Carl Uhr, HES conference 1978, Toronto—have been published. Moreover, Robert Leonard has not published the address he delivered at the 2015 HES conference but two related papers.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".