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Record W341968228 · doi:10.1353/mou.2011.0043

Hecuba and the Performance of Lament on the Epic Stage (Ovid, Met . 13.399–575)

2011· article· fr· W341968228 on OpenAlexvenueno aff
Jessica A. Westerhold

Bibliographic record

VenueMouseion Journal of the Classical Association of Canada · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEPICLiteratureMythologyLamentReinterpretationPoetryHistoryArtAesthetics

Abstract

fetched live from OpenAlex

This article explores the anxieties over poetic authority and epic memory articulated in Ovid’s Metamorphoses 13.399–575. Ovid closely follows the story of Hecuba after the fall of Troy as it was told in Euripides’ Hecuba . Although his source model is primarily tragic, Ovid’s version dramatizes the function of epic composition, the creation of epic fama . While Achilles and Polyxena struggle to control their mythological memory in Ovid’s epic, Ovid plays with generic expectations. As is fitting for Ovid’s epic of “changing forms,” Hecuba’s epic and tragic traditions are transformed into a uniquely Ovidian reinterpretation of the sack of Troy. Cet article examine les inquiétudes concernant l’autorité poétique et la mémoire épique exprimées dans les Métamorphoses d’Ovide XIII, 399–575. Ovide suit de près l’histoire d’Hécube après la chute de Troie, telle que racontée dans l’ Hécube d ’Euripide. Bien que le modèle de sa source soit essentiellement tragique, la version d’Ovide met toutefois en scène la fonction de la composition épique, la création d’une fama épique. Lorsqu’ Achille et Polyxène luttent pour contrôler leur mémoire mythologique dans l’épopée d’Ovide, le poète joue avec les attentes génériques. Comme il convient à l’épopée d’Ovide « sur les changements de forme », les traditions épiques et tragiques sur Hécube sont transformées en une réinterprétation purement ovidienne de la prise de Troie.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.558
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.232
Teacher spread0.208 · 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 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

Citations1
Published2011
Admission routes1
Has abstractyes

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