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    Warriors' Wives

    Ancient Greek Myth and Modern Experience

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    Author(s)
    Bridges, Emma
    Language
    English
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    Abstract
    Warriors’ Wives: Ancient Greek Myth and Modern Experiences compares the representations of soldiers’ wives in ancient Greek epic poetry and tragic drama with the experiences of modern-day military spouses. In examining the figures of Penelope, Clytemnestra, Andromache, and Tecmessa—as represented by Homer and the fifth-century-bce Athenian tragedians—alongside contemporary evidence for the lives of women who are married to service personnel, it sheds fresh light on the effects of war on those who are left behind. It traces significant aspects of the lives of the women who are married to soldiers from the moment of farewell, through periods of separation and the challenges they bring, to the reunion and in some cases the traumatic aftermath of war. In doing so, it considers the ways in which key elements of the experience of the waiting wife are shaped, today just as much as in the ancient world, by expectations about gender roles, and it renders visible the stories of military spouses who have traditionally been given less attention than their serving partners.
    URI
    https://library.oapen.org/handle/20.500.12657/98217
    Keywords
    military spouses, Homer, Athenian tragedy, ancient Greek myth, gender, feminism, war, soldiers, marriage, Trojan War
    DOI
    10.1093/oso/9780198843528.001.0001
    ISBN
    9780198843528
    Publisher
    Oxford University Press
    Publisher website
    https://global.oup.com/
    Publication date and place
    Oxford, 2023
    Grantor
    • Open University
    Classification
    Literary studies: ancient, classical and medieval
    Ancient history
    Pages
    247
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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