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Record W3212705307 · doi:10.32920/ryerson.14649057.v1

Collingwood’s philosophy of art as a basis for virtue aesthetics.

2021· preprint· en· W3212705307 on OpenAlexaff
David Collins

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicPhilosophical Ethics and Theory
Canadian institutionsYork University
Fundersnot available
KeywordsVirtueAestheticsNormativeVirtue ethicsPhilosophyOrder (exchange)EpistemologyExpression (computer science)Focus (optics)Computer science

Abstract

fetched live from OpenAlex

In this thesis I show how Aristotle’s approach to ethics can be applied to aesthetics in order to address normative concerns relating to practices of artistic creation and spectatorship, and how R. G. Collingwood’s philosophy of art provides an understanding of these practices that works as a basis for such an approach. I begin by discussing the connection between aesthetic and ethical normativity as found in the thought of various prominent philosophers, and review the contemporary work done in the name of ‘virtue aesthetics’. I then explicate Aristotle’s ethics, with a particular focus on his definition of virtue and his discussion of practical wisdom, and give an overview of Collingwood’s understanding of art and the role of imagination in artistic expression and understanding, before synthesizing the structure of Aristotle’s ethics with the content of Collingwood’s philosophy of art in order to arrive at an outline of a Collingwoodian virtue aesthetics.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.005
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.020
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.066
GPT teacher head0.277
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

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