Contemporary capitalism, uneven development, and the arc of anti-capitalism
Bibliographic record
Abstract
Uneven and combined development remains crucial for understanding the continued widening and deepening of capitalism. However, the nature of the heterogeneous and uneven development of contemporary capitalism, especially since the 1970s, makes problematic the characterization of capitalist totality, as a coherent stage and as a singular, albeit uneven, combination. This complicates the successful pursuit of anti-capitalism, which now requires varied but interrelated responses at all scales and involving a range of approaches, from local community activism and non-capitalist alternatives to mass Leninist-inspired parties, and an international socialist movement. Thus, a far more uneven anticapitalism is appropriate; and a single, overarching anti-capitalist process, such as Permanent Revolution may not be the only or way forward. This is not an argument for a post-Marxist horizontal heterogeneity; but rather an exploration of the reasons and possibilities for a dialectical anti-capitalism, where beneficial encounters occur across the arc of anti-capitalism, within which proletariat mobilization remains a central component. Such confluence offers one starting point for contending with the perennial duality of reform and revolution, manifest today in the either/or of an anti-capitalism of total revolution and an agonistic, fractional post-Marxist politics working to reduce oppression and hardship within capitalism.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.045 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".