Aesthetic Value, Intersubjectivity and the Absolute Conception of the World
Bibliographic record
Abstract
In the Critique of the Power of Judgment , Kant diagnoses an antinomy of taste: determinate concepts exhaust judgments of taste or they do not. Judgments of taste are either objective and public or subjective and private. On the objectivity thesis, aesthetic value is predicable of objects. But who can say which concepts to use? On the subjectivity thesis, aesthetic value is not predicable of objects. But have we no authority in asserting the aesthetic value of any object? Following John McDowell, I argue aesthetic value is neither objective nor subjective, but intersubjective. But, contra McDowell, I draw on the conceptual resource of an indeterminate absolute conception of reality to show that the validity that intersubjective aesthetic value bestows on judgments of taste must assume an indeterminate conception of common sense, according to which a judgment of taste may be valid for all subjects.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.067 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| 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".