Bibliographic record
Abstract
A commitment to political neutrality means that citizens have a legitimate complaint when the coercive power of the state is used to advance some particular conception of how it is good to live. In this paper I investigate how to address this complaint in the case of public funding for the arts. There are two promising ways to justify public arts spending. First, as Thomas Nagel argues, the arts are a source of intrinsic values and so command our respect. I reject this argument because intrinsic values are not automatically political values. Second, Ronald Dworkin argues that access to the arts is required to fully participate in social life. This argument draws a connection between the arts and citizenship and so fares better in establishing a political justification for the arts. However, Dworkin relies on the special value of high art relative to popular art, which undermines the neutrality of his argument. I show that a justification can be given that does not depend on the high value of the arts. I develop an account that shows how the arts can support just relations between citizens. This account is in keeping with a liberal commitment to neutrality.
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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 | 0.020 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.016 | 0.016 |
| Insufficient payload (model declined to judge) | 0.011 | 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".