Bibliographic record
Abstract
This article uses Robert Nozick’s account of utopia as a framework for utopias to examine the normative underpinnings of private law. Nozick’s insight, I argue, points to private law’s irreducible role in upholding individual self-determination and reveals its function in vindicating a robust conception of relational justice. These underpinnings are far removed from the libertarian foundations ascribed to private law not only by Nozick and other libertarians but also by Kantians and many division-of-labour liberal egalitarians. They require us to discard the conventional conceptions of property (as sole and despotic dominion) and of contract (as a means for delineating the boundaries of protected domains), which Nozick espouses. Private law’s underlying normative commitments to both individual self-determination and relational justice also have important distributive implications. These implications, however, are distinct from the considerations of justice in holdings that concern the institutions responsible for distributive justice.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.052 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.007 |
| 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".