Bibliographic record
Abstract
How do corporations use their instrumental and structural power within markets and states to advance their policy agendas? Capitalism and Class Power examines corporate power through chapters on the U.S. military industrial complex, the rise of billionaire wealth in the U.S., the role of a transnational investment bloc in U.S.–Saudi relations, the rise of global disinformation firms, Canadian imperialism in the English-speaking Caribbean, the power of an EU corporate bloc in Caribbean trade agreements, the relationship between capitalism and poverty in rich capitalist countries, and the relationship between “neoliberalism” and capitalism. Professor Cox concludes the volume with reflections on the importance of corporate power research to achieving systemic change. Contributors are: Melissa Boissiere, Aram Eisenschitz, Jamie A. Gough, Adam D. Hernandez, Tamanisha J. John, Mazaher Koruzhde, Rob Piper and Bryant William Sculos. Ronald W. Cox is Professor of Politics and International Relations at Florida International University. He has published six books on corporate power in the global economy and is editor of the open access online journal Class, Race and Corporate Power.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".