Back

More than the Second Amendment: Liberal gun owners, citizenship, and emancipatory democracy in the United States.

  • Published In: Social Science Quarterly (Wiley-Blackwell), 2024, v. 105, n. 2. P. 211 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Hubbert, Jennifer; Eaton, Hannah 3 of 3

Abstract

Objective: This study seeks to understand how liberal gun owners configure the rights and responsibilities of ethical gun citizenship in the face of a dominant public narratives that rejects guns as markers of liberal belonging. Methods: This study employs a qualitative, textual analysis approach to explore the narratives of liberal gun owners participating in online discussions of mass shootings and contentious political elections. Results: The results show how liberal gun owners, in these online forums, advocated for an emancipatory democracy that largely prioritized the collective over the individual, demanded an accountable government, and was radical in its insistence on the importance of accessibility and meaningful participation, thus configuring social belonging and commensurability as central to formal citizenship. Conclusion: The results suggest that how one formulates the values of citizenship is linked to how one practices the politics of democracy. Highlighting the greater range of possibilities for the alignment of guns and citizenship may thus offer some hope to the rancor of contemporary partisan politics as liberal gun owners seek to normalize a democracy that brings individual and collective identities and needs into its culture and practice. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Social Science Quarterly (Wiley-Blackwell). 2024/03, Vol. 105, Issue 2, p211
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:0038-4941
  • DOI:10.1111/ssqu.13352
  • Accession Number:176197747
  • Copyright Statement:Copyright of Social Science Quarterly (Wiley-Blackwell) 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.