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Record W4394960887 · doi:10.1017/9781009380362.005

Kant’s Theory of the Feeling of Pleasure and Displeasure (I)

2024· book-chapter· en· W4394960887 on OpenAlexaff
Alexander Rueger

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook-chapter
Languageen
FieldArts and Humanities
TopicPhilosophical Ethics and Theory
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPleasureFeelingPsychoanalysisPhilosophyPsychologyEpistemologyAestheticsPsychotherapist

Abstract

fetched live from OpenAlex

Kant adopts and transforms the views on pleasure found both in the empirical psychology of the Wolffian tradition as well as those of critics of this tradition like Crusius. The latter proposed that pleasure in an object results from the satisfaction of a desire or interest while the former conceived of pleasure as the perception of an object’s perfection. Mendelssohn’s analysis of pleasure combined aspects of both views and led to a characterization of the feeling as a preference we have to maintain the representation of an object in our mind when it satisfies our interest in perfection. We find this explication in the third Critique under the title of a “transcendental definition” of pleasure, that is, a definition of an empirical concept that employs only pure concepts of the understanding. The definition, together with the assumption that faculties have interests, leads to the principle that pleasure consists in the satisfaction of such interests.

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)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.005
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0020.024
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.002

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 head0.046
GPT teacher head0.191
Teacher spread0.145 · 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
GenreOther

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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