Back

Tracing the history of discourses on professionalism in the 'sister professions' of librarianship and social work in the United States.

  • Published In: Library & Information History, 2023, v. 39, n. 1. P. 23 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Trnka, Rachel Edford 3 of 3

Abstract

In Whole Person Librarianship: A Social Work Approach to Patron Services (2019), Zettervall and Nienow aptly refer to librarianship and social work as 'sister professions', highlighting their gendered histories and similar professional values. Both librarianship and social work emerged as service-oriented, female-dominated professions in the late nineteenth century. Questions about professional identity have concerned librarians and social workers since those early days, with scholars and practitioners in both fields examining markers of professionalism, such as training, associations, and values. This article compares the historical development of professional social work and librarianship by tracing the changing discourses on professionalism, attending to the role gendered language plays in debates about professional status. The analysis focuses on the works of early pioneers in American social work and librarianship and the public debates about professionalisation in the early 1900s to provide context for collaborations between librarians and social workers and look towards the future. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Library & Information History. 2023/04, Vol. 39, Issue 1, p23
  • Document Type:Article
  • Subject Area:Library and Information Science
  • Publication Date:2023
  • ISSN:1758-3489
  • DOI:10.3366/lih.2023.0136
  • Accession Number:163141950
  • Copyright Statement:Copyright of Library & Information History is the property of Edinburgh University Press 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.