JOURNAL ARTICLE

Frame Analysis and Animal Studies: Erving Goffman's Overlooked Thesis on Animal Metacommunication and Mind.

  • Published In: Symbolic Interaction, 2024, v. 47, n. 4. P. 578 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Jerolmack, Colin; Westberry, Abigail; Teo, Belicia 3 of 3

Abstract

Erving Goffman's concept of framing is one of his most enduring contributions to social science. Despite the canonical status of Frame Analysis (1974) in multiple fields, few acknowledge its intellectual engagement with animal studies. It was Gregory Bateson, in an analysis of animal play, who first posited the idea of frames as metacommunicative propositions that signal the meaning of behavior. In this paper, we show that Goffman did not just opportunistically borrow the idea of framing from Bateson, but also advanced Bateson's thesis that nonhuman animals are capable of (re)framing the meaning of behavior. He emphasized that animals and humans could meta‐communicate with each other as well. Goffman polemicized against human exceptionalist theories of cognition and communication—not only in Frame Analysis, but also in unpublished remarks he delivered at a controversial conference on animal communication, and he suggested that the ability to meta‐communicate is a more appropriate index of mind than language. Although new research indicates that many species use "significant symbols" and have a "theory of mind," most interactionists have not reckoned with the sociological implications of animals as "minded" social actors capable of metacommunication with each other—and with people. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Symbolic Interaction. 2024/11, Vol. 47, Issue 4, p578
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2024
  • ISSN:0195-6086
  • DOI:10.1002/symb.715
  • Accession Number:180923653
  • Copyright Statement:Copyright of Symbolic Interaction 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.