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Record W2048987800 · doi:10.7202/014282ar

Les sangliers et la laie de Krommyon : rapports du courage aristotélicien avec le Lachès

2007· article· fr· W2048987800 on OpenAlexaffvenue
Louise Rodrigue

Bibliographic record

VenueLaval théologique et philosophique · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicPsychology of Social Influence
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCourageHumanitiesPhilosophyTheology

Abstract

fetched live from OpenAlex

Cette étude analyse les rapports des éthiques aristotéliciennes et du Lachès eu égard à la notion de courage, plus particulièrement les thèmes qui se recoupent dans les trois ouvrages. La première partie montre comment la restriction que propose le Stagirite du contexte du courage au sens fondamental du terme s’inspire, malgré les apparences, de ce que proposent Lachès et Socrate dans le cadre de la première définition du courage donnée dans le dialogue. La deuxième partie examine le rôle et le statut de l’expertise ; elle explique comment Aristote, faisant de cette attitude un faux courage, s’appuie sur trois considérations présentées dans le Lachès (dans le cadre de la discussion de la deuxième définition). La troisième partie concerne l’exclusion des bêtes du domaine du courage, et explore la relation entre les distinctions linguistiques offertes par Nicias (troisième définition du courage) et celles qu’établit Aristote dans les éthiques. La dernière section commente les différences entre vertu, vice et non-vertu dans les éthiques.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.025
Scholarly communication0.0090.006
Open science0.0010.004
Research integrity0.0020.003
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 head0.045
GPT teacher head0.370
Teacher spread0.325 · 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 designNot applicable
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
Published2007
Admission routes2
Has abstractyes

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