The Late Emerging Consensus Among American Economists on Antitrust Laws in the Second New Deal (1935-1941) (Revised Version),Montréal, Cahiers Scientifiques du CIRANO, 2020s-46
Bibliographic record
Abstract
This paper presents the late convergence process from American economists that led them to support a strong antitrust enforcement in the Second New Deal despite their long-standing distrust toward this legislation. The paper presents the path from which institutionalist economists, on one side, and members of the First Chicago School, on the other one, have converged on supporting the President F.D. Roosevelt administration towards reinvigorating antitrust law enforcement as of 1938, putting aside their initial preferences for a regulated competition model or for a classical liberalism. The appointment of Thurman Arnold at the head of the Antitrust Division in 1938 gave the impetus to a vigorous antitrust enforcement. The 1945 Alcoa decision crafted by Judge Hand embodied the results of this convergence: in this perspective, the purpose of antitrust law enforcement does consist in preventing improper uses of economic power.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".