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Record W4404615364 · doi:10.1353/hms.2024.a944574

Aesthetic Taste and Moral Sentiment in Hume and Mengzi

2024· article· en· W4404615364 on OpenAlexvenueno aff
Dobin Choi

Bibliographic record

VenueHume studies · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsTastePhilosophyAestheticsEpistemologyPsychologyNeuroscience

Abstract

fetched live from OpenAlex

Abstract: I examine Hume’s and Mengzi’s reliance on aesthetic and moral taste in their sentiment-based theories of virtue. Their views on taste seem to conflict. In his essay “Of the Standard of Taste,” Hume observes that people’s taste sentiments appear to vary, but he seeks a standard that can reconcile them. In contrast, relying on the uniformity of aesthetic taste, Mengzi argues that humans, by nature, share a universal taste toward morality. I argue that the apparent contrast in the two philosophers’ views originates from their attending to different aspects of taste and sentiments for their different theoretical goals. For an empirical account of aesthetic evaluation, Hume observes the ordinary phenomena of taste, people’s varied particular sentiments; he then investigates their initial causes in the mind to establish a reliable standard. Mengzi takes cases of uniform taste to imply the same mental cause of moral taste, which is the cornerstone of people’s moral self-cultivation. Relying on the sentiments for moral distinction and cultivation, both Hume and Mengzi reach similar conclusions: they recognize a practical standard, rather than empirical rules, in those who have achieved excellence in their aesthetic and moral taste, and suggest that the ultimate standard of taste is the natural constitution of the human mind.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.084
GPT teacher head0.269
Teacher spread0.185 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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