Bibliographic record
Abstract
Embedded in early debates about the transition to capitalism is the idea that law and legal relations play a pre-determined yet artificial role. While this reflects Marx's general claims about law and capitalism, the more that the legal sphere is held as the realm of fiction, the more that the economic sphere's association to the natural realm grows in concert. This undermines Marx's broader objective to interrogate the apparent naturalization of economic rationales in Capital I. In this essay, I dissect the notion of law as artifice not simply to displace the conceptual association between law and derivation, externality, or fakery, but to rethink the definitive transformation of labour compulsion as it is portrayed in the transition debates. Aided by Elleni Centime Zeleke's Ethiopia in Theory, I ascertain the Eurocentric limits of the early debates, and I recuperate a constructive notion of artifice in a way that does not treat law as a derivative phenomenon prone to stagist interpretations. This perspective informs my call for an approach to law and ‘transitions to capitalism’ that is less enthralled by law's mystifying force and more attentive to the material conditions of labour compulsion.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.047 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| 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".