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Record W4417177178 · doi:10.1017/9781009766661

Aristippus of Cyrene, Pleasure and the Present

2025· book· W4417177178 on OpenAlexaff
Georgia Mouroutsou

Bibliographic record

VenueCambridge University Press eBooks · 2025
Typebook
Language
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsThe King's University
Fundersnot available
KeywordsPleasureHedonismElement (criminal law)Interpretation (philosophy)Focus (optics)Cognition

Abstract

fetched live from OpenAlex

This Element offers a new historical account of Aristippus the Elder's views on pleasure and the present. Instead of treating Aristippus as merely proto-Cyrenaic or anachronistically modern, it uncovers in the ancient sources a neglected form of hedonism that endorses a present-focused therapeutic policy, while exploring its underlying motivations. Aristippan hedonism promotes a moment-to-moment disposition to pleasure rather than its maximization through future calculation, supporting a euthymic model of well-being that prioritizes the present. After distinguishing Aristippus from the later Cyrenaics regarding hedonic calculations to maximize pleasure, the Element yet supports continuity with his followers in the cognitive elements of the concept and the experience of pleasure, challenging his alleged sensualism in this way. Once the historical groundwork is in place, the Element introduces the hypothesis of the plasticity of the present, which moves beyond historical interpretation to offer an ethical-psychological account of a sustained focus on present time.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.004
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.009
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.025
GPT teacher head0.238
Teacher spread0.213 · 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 designNot applicable
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

Citations2
Published2025
Admission routes1
Has abstractyes

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