Bibliographic record
Abstract
This book deals with economic development, and with macroeconomic performance in the context of capitalist development. In addition to explaining the macroeconomic record, for example rates of growth, inflation and unemployment, we explain the interaction of economic variables with the changing structural features of the economy in the course of capitalist industrialization and transformation. This requires a framework suited to analysing a more complex economic reality than mainstream economic theory can encompass. This complexity arises from two sources. First, we include institutions among the structural variables, and the impact of the distribution of economic and political power on these institutions. Second, we examine the interaction of economic performance with the structure of the economy to show how each causes changes in the other. This reaches beyond the ‘intellectual autarky’ of equilibrium analysis, in which structural variables influence the endogenous economic variables but are themselves subject only to unexplained change. Instead, our framework allows for changes both in the economic structure and in the performance variables to be generated within the system. In contrast to this evolutionary approach, mainstream theory focuses on equilibrium states and restricts itself to the less demanding task of establishing conditions for the existence and stability of the equilibrium. To use our approach is to make what Nelson (1995, p. 85) refers to as ‘an intellectual bet that the price of added complexity is worth paying to buy the better ability to devise and work with a theory that rings right’.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.472 | 0.282 |
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".