Class is What Capitalism Makes of It: Challenging the Lure of ‘‘Realism’’ in Mainstream Class Analysis
Bibliographic record
Abstract
This article addresses polemically, perhaps, the most prominent class analyses today – the occupational and stratification approaches (OSAs) developed by various sociologists and economists. Strongly opposed to the “big class” of conventional Weberian and Marxian typologies, the stratification and occupational models have, unsurprisingly, claimed more realistic grounds. By contrast, key dimensions of social relations such as domination, exploitation and oppression are purposely overlooked. Moreover, the lack of theorization – even marginally regarded, does not take into consideration the qualitative explanatory strength for the analysis of social structure. Alternatively, the underlying optimistic market-oriented belief of the “realistic” class framework overestimates the role of institutions and economics. Thus, this “Smithian” background unveils a market fetishism as well as a functionalist and naturalized vision of class structure.
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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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".