Moralizing Strategies in Early Greek Poetry
Notice bibliographique
Résumé
The articles collected in this volume were originally presented at a conference held at Memorial University, St John's, Newfoundland, in July 2015. \n \nMoralizing, in the sense both of didactic advice and of reflection on received wisdom, is a prevalent feature of ancient Greek literature. Didactic poetry was a long-established genre, first known to us from Hesiod, though with much older roots, but elements of didacticism are important to small-scale non-hexameter poetry, whose performance function is often explicitly to guide or advise its audience. Yet moralizing strategies are found in poetry whose aim is not simply to tell its audience how to live their lives, and a core aim of the conference on which this volume is based was to explore ways in which early Greek poetry uses implicit moralizing within a broader poetic framework. In other words, we are interested in exploring how moralizing is embedded in poetry whose overt goal appears to be something different (including, for example, entertainment, storytelling, or the expression of blame). The term “moralizing” may also imply a straightforward lesson for the audience, yet early Greek poetry often complicates any such “message” even as it gives it, and a further aim of the collection is to think about the status of the moral advice embedded in the performance. To what extent is direct advice questioned or undermined? How far can the audience trust the narrator and his or her perspective? \n \nThe articles in this collection address this question from different perspectives, and using different texts, but coalesce around a group of core themes and questions. One area of particular interest is the difference between explicit and implicit moralizing, and how the advice given by the two can be reconciled. Another overarching theme is the relationship between moralizing in lyric and how it is used in Homer and Hesiod. Lyric poetry (including elegy and iambus) frequently positions itself as in dialogue with the epic tradition, and borrows from and recasts epic motifs for its own purposes. Yet the performance context and imagined audience of lyric may differ from those of epic, and the strategies adopted by the poets vary accordingly. Many of the articles discuss beast fable and animal imagery, contesting the commonly-held idea (first proposed by Karl Meuli) that a fable does not carry a universal truth but rather a specific one to suit the context. Finally, questions of persona and poetic biography, and of the audience and performance context, play an important role in understanding how morality is disseminated and received.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,005 | 0,008 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,022 | 0,019 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,015 | 0,019 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».