Weal and woe : suffering, sociology and the emotions of Julian of Norwich

Catherine Garrett

    Research output: Contribution to journalArticle

    3 Citations (Scopus)

    Abstract

    The power which narratives of mystical experience exert on our thinking derives from the central place of emotions within them. These narratives are crucial to the phenomenon of healing: not as cure, but as a means of accepting, understanding, and minimising suffering. Contemporary religious thought draws heavily on social theory but this paper shows not only that “mystical” emotions have escaped the attention of sociology, but also that sociology is unable to provide an adequate account of them or of their place in overcoming pain of all kinds. It does so by comparing three very different books about the emotions: Deborah Lupton's The Emotional Self (1998), Jack Barbalet's Emotions, Social Theory and Social Structure (1998), and the fourteenth century Revelations of Divine Love by Julian of Norwich. The last of these illuminates what the other two call “the extra-discursive, embodied and unconscious” dimensions of emotions. The first part of the paper makes a general comparison and the second turns to a range of specific emotions: shame and guilt, sorrow and depression, anger, fear, and anxiety, and the positive emotions of joy, love, and desire. This comparison helps explain how people live with chronic suffering and transcend it. It also shows that sociology, by making society itself a “thing” and elevating it to God-like status, cannot provide the critique of theology which was one of its original intentions, nor fully account for the healing influence of “mystical” phenomena.
    Original languageEnglish
    JournalPastoral Psychology
    Publication statusPublished - 2001

    Keywords

    • Julian, of Norwich, b. 1343
    • emotions
    • healing
    • religion and sociology

    Fingerprint

    Dive into the research topics of 'Weal and woe : suffering, sociology and the emotions of Julian of Norwich'. Together they form a unique fingerprint.

    Cite this