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Record W3000934162 · doi:10.1177/0191453718810928

Passions, virtue, and rational life

2020· article· en· W3000934162 on OpenAlexaff
John Hacker‐Wright

Bibliographic record

VenuePhilosophy & Social Criticism · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicTheology and Philosophy of Evil
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPassionsVirtuePassionEpistemologyPhilosophyPerfectionNatural (archaeology)Environmental ethicsEudaimoniaPower (physics)SociologyAestheticsPsychologySocial psychology

Abstract

fetched live from OpenAlex

Neo-Aristotelian ethical naturalists argue that moral norms are natural norms that apply to human beings. A central issue for neo-Aristotelians is to determine what belongs to the good human life; the question is complicated, since we take up a diversity of different lives, many of which seem good, and it seems unclear what the human species-characteristic life really is. The Aristotelian tradition gives some guidance on this question, however, because it describes us as rational animals with intellectual and appetitive powers; the perfection of those powers is what makes us good qua human. This is especially well spelled out in Thomas Aquinas; he takes moral virtues of courage and temperance to be perfections of our sense appetites, a power of going for things presented as good through our senses. These virtues thereby shape our passions, specifically the passions of fear, daring and concupiscent love, which are a result of the sense appetites pursuing what appears as good. This view provides a framework for virtue, which can then be taken as the perfections of distinct powers shared by all human beings, though actualized in a variety of ways. In this article, I will focus on the passion of fear, which I here describe, following Aquinas, as a movement of sense appetite away from evils that are difficult or impossible to avoid. My focus will be on showing that this passion is necessary, irreplaceable by our cognitive powers, and that the underlying sensitive appetites that produce fear must be perfected for any human being to count as good.

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 categoriesInsufficient payload (model declined to judge)
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 score0.936
Threshold uncertainty score0.998

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.255
Teacher spread0.179 · 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.

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
Published2020
Admission routes1
Has abstractyes

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