285
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Recognition and Reflection in Infancy and Psychotherapy: Convergences of Attachment Research with Psychoanalysis

Pages 298-308 | Published online: 19 Jul 2017
 

ABSTRACT

Psychoanalysts of various persuasions share a commitment to reflection and recognition as core values in everyday clinical work. This suggests convergences between analytic perspectives that might otherwise be underestimated. With other analytic approaches in the background, this article emphasizes parallels between the attachment researchers’ emphasis on reflection and psychological coherence and the Bionian conceptualization of thinking as a special developmental achievement. With regard to clinical analysis, specific discussions of the value of attention to variations in the quality of reflective thinking, with analysands with varied psychopathology, are offered. In addition, an aspect of transference is clarified as a state of mind without “metacognition.”

Additional information

Notes on contributors

Stephen Seligman

Stephen Seligman, D.M.H., is a Clinical Professor of Psychiatry, University of California, San Francisco; Joint Editor-in-Chief, Psychoanalytic Dialogues; Training and Supervising Analyst, San Francisco Center for Psychoanalysis and Psychoanalytic Institute of Northern California; and author of Relationships in Development: Infancy, Intersubjectivity and Attachment.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 180.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.