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Record W2929487516 · doi:10.5325/jnietstud.50.1.0033

“Being Just Is Always a <i>Positive</i> Attitude”: Justice in Nietzsche's Virtue Epistemology

2019· article· en· W2929487516 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Nietzsche Studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicNietzsche, Schopenhauer, and Hegel
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVirtueEconomic JusticeEpistemologyPhilosophyEpistemic virtuePerspectivismPoliticsPraiseInterpretation (philosophy)DoctrineTheologyLawPsychologySocial psychologyPolitical science

Abstract

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ABSTRACT In his early-middle works, notably in the Untimely Meditations and Human, All Too Human, Nietzsche uses the concept justice (Gerechtigkeit) in an unusual way: he treats it as an individual virtue rather than a structural virtue of societies and political or legal systems; he distinguishes between practical and epistemic justice, and focuses his analysis and praise almost exclusively on the latter; and he places unusual emphasis on the distinctive feeling or affect associated with the exercise of epistemic justice. This article aims to make sense of Nietzsche's peculiar conception of justice in by contextualizing it in two respects. First I show how it fits into and supports an interpretation of Nietzsche as a virtue epistemologist. Then I show how elements of Nietzsche's epistemic and affective notion of justice persist in his later work, notably in his doctrine of perspectivism, in the more straightforwardly practical and political account of justice sketched in the Genealogy, and his conception of the role of the philosopher of the future.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.046
GPT teacher head0.295
Teacher spread0.249 · 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