JOURNAL ARTICLE
Reflections on the procedural and practical ethics in researching professional social work writing.
Published In: Journal of Applied Linguistics & Professional Practice, 2024, v. 18, n. 3. P. 315 1 of 3
Database: Communication Source 2 of 3
Authored By: Lillis, Theresa; Twiner, Alison; Balkow, Michael; Lucas, Gillian; Smith, Miriam; Leedham, Maria 3 of 3
Abstract
This article examines the ethical dimensions involved in the multi-agency UK research project WiSP (Writing in Professional Social Work Practice in a Changing Communicative Landscape), focusing on both procedural ethics and ethics in practice. It highlights the complex regulatory requirements researchers must navigate from academic institutions and social work agencies, emphasizing that formal approvals alone are insufficient without ongoing informal negotiations and relationships at organizational, operational, and individual levels. Drawing on reflective accounts from social workers and stakeholders, the paper underscores the importance of continuous dialogue throughout access, participation, analysis, and dissemination stages, illustrating how ethical practice extends beyond codified procedures to include collaborative decision-making about research priorities and data use. The study argues for greater institutional recognition of ethics in practice, advocating for research approaches that balance rigorous academic standards with responsiveness to participant-stakeholder concerns in professional domains.
Additional Information
- Source:Journal of Applied Linguistics & Professional Practice. 2024/12, Vol. 18, Issue 3, p315
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2024
- ISSN:2040-3658
- DOI:10.3138/jalpp.20014
- Accession Number:183863855
- Copyright Statement:Copyright of Journal of Applied Linguistics & Professional Practice is the property of University of Toronto 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.)
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