Bibliographic record
Abstract
One objection to the principle of public reason is that since there is room for reasonable disagreement about distributive justice as well as about human flourishing, the requirement of reasonable acceptability rules out redistribution as well as perfectionism. In response, some justificatory liberals have invoked the argument from higher-order unanimity, or nested inclusiveness. If it is not reasonable to reject having some system of property rights, and if redistribution is just the enforcement of a different set of property rights, redistribution is legitimate if chosen democratically. This article explores two problems with this response. First, there are different ways to describe the set of possible policies, and so different ways to specify the noncoercive default that obtains in the absence of conclusive justification. Second, if the coercive exercise of political power must be conclusively justified, policies that are more coercive ought to require conclusive justification as against policies that are less coercive. These problems about the baseline with respect to which we require public justification raise the question of how we measure coercion, and whether or in what sense there is a presumption against coercion. The article distinguishes and argues against three such presumptions.
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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 | 0.021 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.042 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".