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Mythological Underpinnings of Feminine Development.

  • Published In: Journal of Analytical Psychology, 2023, v. 68, n. 5. P. 828 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Oxley, Diana 3 of 3

Abstract

In the manner of Oedipus Rex, the myth of Myrrha—a story about a daughter's initiation of sex with her father—promises to divulge insights about feminine development. Given parallels between these two myths, the author asks why Jung identified Electra rather than Myrrha as the feminine counterpart to Oedipus, and revisits Freud's and Jung's differing interpretations of the incest theme in personality development. To break open the metaphor of Myrrha's incest, the author analyzes a similar account of incest in the Old Testament story of Lot and his wife and finds that they share a theme of female bitterness related to wounding of the mother and its arresting effect on the daughter's maturation. The article then considers the Demeter‐Persephone myth, a tale not of incest but rape in Persephone's initiation into womanhood. In contrast to Myrrha, Persephone's development unfolds with strong maternal support tempered by the opposing claims on her by the masculine. The article draws these stories together to illuminate the archetypal forces that drive feminine development as well as the human affairs that resist and complicate them. The article concludes with a case study of a client whose developmental "stuckness" follows the contours of the Myrrha myth. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Analytical Psychology. 2023/11, Vol. 68, Issue 5, p828
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:0021-8774
  • DOI:10.1111/1468-5922.12953
  • Accession Number:173281394
  • Copyright Statement:Copyright of Journal of Analytical Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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