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Record W2989877629 · doi:10.3917/phil.891.0043

Héraclite ou Héraklès ? à propos d’Épictète, Manuel 15

2017· article· fr· W2989877629 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

VenueRevue de philologie de littérature et d histoire anciennes · 2017
Typearticle
Languagefr
FieldChemistry
TopicOrganic Chemistry Synthesis Methods
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Au chapitre 15 du Manuel , Épictète mentionne Diogène et Héraclite comme exemples d’hommes divins qui doivent inspirer la conduite de l’homme qui cherche à devenir un convive des dieux et à participer au gouvernement divin. La mention d’Héraclite, dans le contexte cynique du chapitre 15, est plutôt inattendue et les commentateurs éprouvent d’ailleurs de la difficulté à en rendre compte. Héraclite n’est pas, en effet, un modèle éthique pour la majorité des stoïciens et Épictète lui-même n’en fait jamais mention dans le reste du Manuel et dans les Entretiens . Bien que la tradition manuscrite rapporte unanimement le nom d’Héraclite, c’est probablement celui d’Héraklès qu’il faut lire dans ce passage du chapitre 15. Cette correction se justifie, entre autres, par l’importance et la fréquence des mentions d’Héraklès dans les Entretiens et par le fait que son nom y est également associé à celui de Diogène.

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)0.003
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.697
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.303
Teacher spread0.265 · 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