New Materialism(s) and Systemic Psychotherapy: Does it Matter? (PART 2).

  • Published In: Journal of Family Therapy, 2025, v. 47, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Albertini, Federico Maria; Christiansen, Jacob Cilius Vinsten; Loh, Christopher; Nijabat, Nasif 3 of 3

Abstract

This is the second of a two‐part paper on New Materialisms (NMs) and systemic psychotherapy. The paper applies NMs concepts to the practice of systemic psychotherapy through the use of two composite practice examples. Continuing from the first part of the two‐part paper, we move the theoretical discussion from a conceptual to a practical level. Therefore, this paper aims to address some of the core elements of NMs and their relevance in systemic psychotherapy practice. It does not claim to take an exhaustive approach to implementing NMs in systemic psychotherapy. NMs can influence a new paradigm within the plurality of paradigms present in systemic psychotherapy. By and large, although NMs and systemic psychotherapy depart from different philosophical, ontological and epistemological underpinnings, we argue that they can be bridged not only at a theoretical but also at a practical level, as they both share a common potentiality as practices of freedom. By plugging in these two practices, new possibilities when it comes to understanding and creating change in our lives and the social situations in which we are situated unfold. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Family Therapy. 2025/02, Vol. 47, Issue 1, p1
  • Document Type:Article
  • Subject Area:Religion and Philosophy
  • Publication Date:2025
  • ISSN:0163-4445
  • DOI:10.1111/1467-6427.12480
  • Accession Number:183950847
  • Copyright Statement:Copyright of Journal of Family Therapy 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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