“Capitalism and Class Power” by Ronald W. Cox (Ed.), (Brill, 2023). A Review
Bibliographic record
Abstract
This book contains eight articles (chapters two through nine) that have previously appeared as articles in this online journal plus an introductory chapter and a concluding reflective chapter by the editor. The introduction effectively situates the work contained in a broader scholarly context, of which more below, while the conclusion provides an engaging commentary on the contemporary significance and deep challenges faced by politically engaged academic work. Broadly speaking the chapters move across a series of empirical case studies of corporate class power covering the U.S. Military-Industrial Complex, the expansion the category of Billionaire, Transnational Capital’s role in U.S. interventionism in the Persian Gulf, Fake News and Social Media in the Case of Bell Pottinger, Canadian Imperialism in the Caribbean, and the Transition from the Lomé trade accords to CARIFORUM-EU EPA. The last few chapters trend broadly to a more theoretical framework as chapter eight focuses on the systemic necessity of poverty in even the most developed capitalist countries (Here described as “High-Income Countries” and chapter nine develops a critique of the concept of Neoliberalism in Action. This review will comment on each in turn before concluding on the broader contribution that this volume might represent.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.010 |
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".