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POWER, KNOWLEDGE, THE ACADEMY AND BEYOND.

  • Published In: New Formations, 2023, n. 110/111. P. 28 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Charman, Karen 3 of 3

Abstract

This article brings to the fore the work of the Public Pedagogies Institute, a not-for-profit organisation, as an enactment of the public realm. This Institute stands within a lineage of education beyond formal sites of learning such as the Raphael Samuel History Centre and, prior to this, Mechanics Institutes. In each of these instances these educational sites either challenge or depart entirely from knowledge generated in authorised or elite institutions. The continuation of instances where education can occur beyond sites of formal education is becoming increasingly critical in a challenge to what and whose knowledge is considered of value. One of the central questions this article attends to is how knowledge that circulates outside of the academy, such as that which occurs within the Public Pedagogies Institute, can be recognised. An analysis of the Institute as a site for knowledge formation is undertaken through the ideas of Hannah Arendt, specifically her concept of the public realm, to critically examine the possibilities for knowledge. For Arendt, her concept of the public realm is a space where the revelation of who we are engenders the possibility of new beginnings. The significance of undertaking such an analysis through the work of Arendt is to foreground how iterations of the public can be recognised as sites of education. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:New Formations. 2023/09, Issue 110/111, p28
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2023
  • ISSN:0950-2378
  • DOI:10.3898/NewF:110-111.02.2024
  • Accession Number:178227346
  • Copyright Statement:Copyright of New Formations is the property of Lawrence Wishart Ltd. 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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