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Record W2037984238 · doi:10.1353/hph.2006.0045

Spinoza's Account of Akrasia

2006· article· en· W2037984238 on OpenAlexaff
Martin Lin

Bibliographic record

VenueJournal of the history of philosophy · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicSeventeenth-Century Political and Philosophical Thought
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPassionsPassionVirtuePhilosophyEpistemologyHappinessAction (physics)Power (physics)PsychologySocial psychology

Abstract

fetched live from OpenAlex

Perhaps the central problem which preoccupies Spinoza as a moral philosopher is the conflict between reason and passion. He belongs to a long tradition that sees the key to happiness and virtue as mastery and control by reason over the passions. This mastery, however, is hard won, as the passions often overwhelm its power and subvert its rule. When reason succumbs to passion, we act against our better judgment. Such action is often termed 'akratic'. Many commentators have complained that the psychological principles that Spinoza appeals to in his account of akrasia are mere ad hoc modifications to his philosophical psychology. I show, on the contrary, that these principles follow from some of the most important and interesting aspects of Spinoza's philosophy of 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 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)0.001
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 score0.008
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.015
Scholarly communication0.0070.007
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.038
GPT teacher head0.210
Teacher spread0.173 · 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

Citations67
Published2006
Admission routes1
Has abstractyes

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