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Record W2328765664 · doi:10.1017/s0263523200000240

Systematicity and Symbolisation in Kant's Deduction of Judgements of Taste

2011· article· en· W2328765664 on OpenAlexaff
Alexander Rueger

Bibliographic record

VenueBulletin of the Hegel Society of Great Britain · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophical Ethics and Theory
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsJudgementInterpretation (philosophy)EpistemologyTastePleasureDialecticArgument (complex analysis)MoralityRelation (database)PsychologyCognitionPhilosophyComputer science

Abstract

fetched live from OpenAlex

Kant's characterisation of judgements of taste, as expressing a disinterested pleasure and as being independent of concepts, defines the framework in which he attempts to justify or ‘deduce’ their claim to universal and necessary validity. In §38 of the Critique of Judgement , the ‘official’ deduction, the problem is to find a balance between the aim of grounding the judgements' validity on their relation to cognition and the danger of collapsing these aesthetic judgements into cognitive ones. Apparently, Kant's intention is to show that even though judgements of taste are not cognitive judgements, they are close enough to the conditions employed in all cognition to legitimize their claim to universal validity. Yet, in §59 of the Dialectic Kant seems to attempt another justification, this time by relating judgements of taste to morality. The problem now is to specify this relation so as to avoid reducing aesthetic to moral judgements. The justificatory projects in §38 and §59 are usually considered to be quite different. My aim in this paper is to clarify the relation between the two projects on the basis of an interpretation of what the pleasurable state of mind consists in, that is, the free harmonious play of the faculties in which everyone ought to share in the presence of beautiful objects. In the light of this interpretation I shall give a reconstruction of the argument of §38 which reveals its connection and contrast with §59.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.054
GPT teacher head0.209
Teacher spread0.155 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2011
Admission routes1
Has abstractyes

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