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Record W3127815021 · doi:10.3917/rpha.382.0247

Courage: Definition and distinctions

2021· article· fr· W3127815021 on OpenAlexaff
Marguerite Deslauriers

Bibliographic record

VenueRevue de philosophie ancienne · 2021
Typearticle
Languagefr
FieldPsychology
TopicLeadership, Courage, and Heroism Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsCourageHumanitiesPhilosophyTheology

Abstract

fetched live from OpenAlex

Afin d’examiner la définition du courage chez Aristote, cet article pose un certain nombre de questions de procédure. (i) Comment Aristote s’y prend-il pour construire la définition du courage dans sa philosophie morale et politique? Suit-il réellement la procédure de rassemblement et de division qu’il a héritée de Platon, mais qu’il a aussi révisée et continué à prôner dans ses développements théoriques sur la définition? (ii) La définition du courage que pose Aristote a-t-elle la structure qu’il recommande, sur laquelle il insiste même, dans ses écrits théoriques? Je soutiens que tel est bien le cas, en demandant dès lors (iii) pourquoi Aristote inclut, dans chacune de ses discussions sur le courage, une section qui porte sur la manière de distinguer les états moraux qui peuvent ressembler au courage – qui pourraient même être appelés courage par certaines personnes (malavisées) – du courage à proprement parler. Une question finale est ainsi suggérée: (iv) la manière dont Aristote procède démontre-t-elle qu’il s’assigne pour tâche, en définissant le courage, d’expliquer comment ses contemporains utilisaient le concept et le terme dans les faits? En d’autres termes, Aristote décrit-il simplement l’usage contemporain du terme (offrant ainsi, pourrait-on dire, une définition nominale), ou est-il en train de produire la justification d’un idéal normatif?

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)0.002
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.036
Scholarly communication0.0080.011
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.102
GPT teacher head0.313
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 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
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
Published2021
Admission routes1
Has abstractyes

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