POST-KEYNESIAN ECONOMICS AS DEFENSE MECHANISM: SIDNEY WEINTRAUB AS KNOWN BY E. ROY WEINTRAUB
Bibliographic record
Abstract
This article traces the evolution of Sidney Weintraub’s Post-Keynesian identity during the four decades following WW II, as seen through the eyes of his son E. Roy Weintraub. I explore Roy’s notion that Sidney’s career can be seen as the result of defense mechanisms associated with those of a borderline personality, such as splitting and projection. As Sidney transformed from an aspiring mainstream macroeconomist into a reclusive warrior for ideas, developing a polarized view of the economics profession, his work eventually became subsumed as a branch of Post-Keynesian economics. At the same time, he nudged his son into a symbiotic dependency, standing in for his career as a mathematical economist and coauthor, while also being made complicit in his adultery. Roy’s eventual distancing from this role ultimately led to a rupture prior to Sidney’s death in 1983. It was only then that Roy was able to establish a scholarly profile as a historian of economics and gain the understanding of his father that informs this text.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".