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Talcott Parsons on building personality system theory via psychoanalysis.

  • Published In: Journal of the History of the Behavioral Sciences, 2023, v. 59, n. 4. P. 417 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Treviño, A. Javier 3 of 3

Abstract

This article examines Talcott Parsons's efforts at building the theory of personality system as a special case of his general theory of action and places those efforts in historical context. I demonstrate how, during the middle decades of the twentieth century, Parsons employed elements of classic Freudian thought to advance a new appreciation of the personality system and its relations to other action systems. I begin with an overview of the reception of psychoanalysis at the Boston Psychoanalytic Society and Institute, the Massachusetts General Hospital, and the Harvard Department of Social Relations, showing how Parsons's thinking on the personality system cannot be understood apart from his association with these three institutions. I then turn to how Parsons endeavored to integrate his particular brand of sociology with his own interpretation of Freud's writings to explain how the personality system functions and develops. I conclude by showing that while Parsons's involvements with psychoanalysis became more intermittent after the mid‐1950s, to the end of his life he remained steadfast in his enthusiasm for Freud's theory of personality. In short, Parsons always believed that for sociological theory to progress, it needed to engage with psychoanalysis. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of the History of the Behavioral Sciences. 2023/10, Vol. 59, Issue 4, p417
  • Document Type:Article
  • Subject Area:Sociology
  • Publication Date:2023
  • ISSN:0022-5061
  • DOI:10.1002/jhbs.22257
  • Accession Number:173340189
  • Copyright Statement:Copyright of Journal of the History of the Behavioral Sciences 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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