Bibliographic record
Abstract
Among mainstream political philosophers, Charles Mills is probably best known, not as the author of The Racial Contract, but for his long-running critique of ideal theory and Rawls for his association with it. Yet the critique of ideal theory that followed the publication of The Racial Contract is prefigured in that very work, where we find in inchoate form what would be further developed later on. In the book, this early formulation of the critique occupies a small part of a larger, more general argument condemning mainstream political philosophy for the way that it has ignored race. In this paper, I explore the relation of the critique to this more general argument. It might be thought that the general argument leads inevitably to the critique of ideal theory. I will argue that this is not so. I will show how Mills’ more general argument can be made without taking the further step of critiquing ideal theorizing. The blame for why mainstream political philosophy has ignored race, and continues to ignore race, I will argue, should be placed elsewhere.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".