Do Heterodox Theories Have Anything in Common? A Post-Keynesian Point of View
Bibliographic record
Abstract
The paper questions the wide-spread assertion that non-orthodox schools of thought in economics have only one thing in common – their rejection of mainstream (neoclassical) economics. The author shows by contrast that heterodox currents share some fundamental analytical insights. The paper focuses on a comparison of modern Marxist conceptions with those of Post-Keynesian economists, including the works of Kaleckians and Sraffians. This is shown by examining four fields: the issue of rationality (where the adjustment principle is explicitly accepted by important heterodox authors), price theory (with cost-plus pricing combined to some long-run adjustment), growth theory (where the Kaleckian model has been adopted by authors from all schools), and finally monetary theory (where authors from all backgrounds are successfully integrating real and monetary analysis by taking into account financial markets). The author concludes that mutual feedback between the various heterodox currents has been beneficial to all, despite an unavoidable hyper-specialisation.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.026 |
| Scholarly communication | 0.007 | 0.020 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".