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Building: a possibility for a post-critical perspective in educational research.

  • Published In: Journal of Philosophy of Education, 2024, v. 58, n. 6. P. 957 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Zamojski, Piotr 3 of 3

Abstract

The aim of this article is to give an example of how an exercise in post-critical educational research might be conceptualized. The example refers to an enquiry into building a public sphere around education in Poland. First, a post-critical approach in educational research is defined with reference to the two dominant perspectives of social research, namely the (neo)positivistic and the critical paradigm. Next, and following insights of Hannah Arendt and Jacques Rancière, the idea of building is presented in terms of the persistent introduction of a new beginning into a social reality through acting in line with an assumption (an axiom) that, from the point of view of critical knowledge about the current status quo, seems fictional (or impossible). Such a persistent verification of an impossible axiom aims at establishing a sphere of exception from the dominant social order, offering—through the ideas of Alain Badiou and Giorgio Agamben—a nondialectical logic of social transformation. Finally, in conclusion the article focuses on the phenomenon of condensation as one of the key results of the exemplary research project analysed throughout the text. This points to the kind of knowledge that post-critical research projects are able to bring about. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Philosophy of Education. 2024/12, Vol. 58, Issue 6, p957
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2024
  • ISSN:0309-8249
  • DOI:10.1093/jopedu/qhae079
  • Accession Number:181970775
  • Copyright Statement:Copyright of Journal of Philosophy of Education is the property of Oxford University Press / USA 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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