Bibliographic record
Abstract
One of the main characteristics of today’s democratic societies is their pluralism. As a result, liberal political philosophers often claim that the state should remain neutral with respect to different conceptions of the good. Legal and social policies should be acceptable to everyone regardless of their culture, their religion or their comprehensive moral views. One might think that this commitment to neutrality should be especially pronounced in urban centres, with their culturally diverse populations. However, there are a large number of laws and policies adopted at the municipal level that contradict the liberal principle of neutrality. In this paper, I want to suggest that these perfectionist laws and policies are legitimate at the urban level. Specifically, I will argue that the principle of neutrality applies only indirectly to social institutions within the broader framework of the nation-state. This is clear in the case of voluntary associations, but to a certain extent this rationale applies also to cities. In a liberal regime, private associations are allowed to hold and defend perfectionist views, focused on a particular conception of the good life. One problem is to determine the limits of this perfectionism at the urban level, since cities, unlike private associations, are public institutions. My aim here is therefore to give a liberal justification to a limited form of perfectionism of municipal laws and policies.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.017 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.003 |
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".