Book review: Cuyvers, Ludo (2022): Neo-Marxism and Post-Keynesian Economics: From Kalecki to Sraffa and Joan Robinson, Milton Park (247 pages, Routledge, hardcover, ISBN 978-1-032-25480-7)
Bibliographic record
Abstract
More than 40 years ago I had read an article by Ludo Cuyvers on Joan Robinson's theory of economic growth (Cuyvers 1979). I had not read anything else from him since. A possible explanation is found in the preface of Cuyvers' book, where he says that in the past 50 years, he has studied the works of Kalecki, Sraffa and Robinson, but 'never came to writing up the results' of this research (Cuyvers 2022: xv). This is not quite true, as the 1979 paper attests, and as Cuyvers has also published papers discussing and developing Sraffa's (1960) model. In any case, the title of this intriguing book has a long history, since Cuyvers (1979: 328) was already making use of it, defining the term 'post-Keynesian neo-Marxism', and claiming that Robinson's theory of growth was essentially neo-Marxist, a qualifier that Robinson herself disliked.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".