Bibliographic record
Abstract
The first three sections of this lecture address the need for better historical-materialist theorisations of capitalist competition, capitalist classes and capitalist states, and in particular the institutional dimensions of these – which is fundamental for understanding why and how capitalism has survived into the twenty-first century. The fourth section addresses historical materialism’s under-theorisation of the institutional dimensions of working-class formation, and how this figures in explaining why, despite the expectations of the founders of historical materialism, the working classes have not, at least yet, become capitalism’s gravediggers. While recognising that a better historical materialism along these lines will not necessarily provide us with a gps route to a socialist world beyond capitalism, it does suggest a number of guidelines for socialist strategy, with which the lecture concludes. This includes the need for building new institutions capable of defining, mobilising and representing the working class broadly, as well as recognising that the types of parties that can transform working classes into leading agents of social transformation have yet to be invented. A strategic priority must be to start anew at creating the kinds of working-class political institutions which can rekindle the socialist imagination, and develop the socialist capacities to get there.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.028 |
| Scholarly communication | 0.012 | 0.016 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".