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Record W4388133135 · doi:10.1111/sjp.12545

Heidegger's fundamental ontology and the human good in Aristotelian ethics

2023· article· en· W4388133135 on OpenAlexaff
John Hacker‐Wright

Bibliographic record

VenueThe Southern Journal of Philosophy · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophical Ethics and Theory
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsEpistemologyPhilosophyExistentialismNaturalismOntologyRationalityParallelsGRASPAnalytic philosophyCharacter (mathematics)Contemporary philosophyComputer scienceMathematics

Abstract

fetched live from OpenAlex

Abstract Neo‐Aristotelian ethical naturalists take the concept “human” to be central to practical philosophy. According to this view, practical philosophy aims at a distinctive human good that defines its subject matter. Hence, practical philosophy can survive neither the elimination of the concept nor its subsumption under a more general concept, such as that of the rational agent. The challenge central to properly formulating Aristotelian naturalism is: How can the concept of the human be specified in a way that captures the distinctive role that it is supposed to play in practical philosophy? For the view to be sustained, the concept “human” as it figures in practical philosophy must not designate rationality plus a set of facts that we learn empirically about ourselves and then consider from a detached standpoint of reason. Heidegger's existential analytic offers an approach to addressing the challenge to neo‐Aristotelian naturalism and, therefore, a way of capturing the sui generis human good. I aim to show that concepts of the existential analytic in Being and Time have their origin or parallels in readings of Aristotle and that they capture the distinctive character of the being that we are, exclusively, completely, and as a unity. I argue that fundamental ontology offers a way to grasp the integral unity and irreplaceability of the human that lies at the heart of the neo‐Aristotelian project.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.085
GPT teacher head0.295
Teacher spread0.210 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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