Bibliographic record
Abstract
Social class lies at the core of much that Marx said about the “laws of history.” Class conflict was to be the means whereby capitalism would be overthrown, superseded by a revolutionary dictatorship of the proletariat and, subsequently, by a communist society in which alienation and exploitation would be replaced by emancipation and the full flowering of human potential as both individuals and a species. The capitalist system, however, has proven remarkably resilient and resourceful. The welfare state ameliorated extreme economic distress, popular culture sapped revolutionary energy, and “identity politics” fragmented political radicalism. Meanwhile, the definition of social class itself became problematic. A reorganized labor market produced divisions between the traditional working class and precarious workers and, in colleges and universities, the old “professoriat” was joined by a new “precariat” that now does over two-thirds of the teaching. This trend is part of the “corporatizing” of higher education and the “neoliberal” restructuring of work in late capitalism. Intellectuals, once the theoretical “vanguard of the proletariat,” are now practical leaders too. Educational worker militancy has implications for the academy and class tensions throughout society. It raises the question: Was Marx wrong, or has he just not yet been proven 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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.041 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".