JOURNAL ARTICLE

Mentorship and Clinical Supervision Through Haley's Strategic Model: A Composite Case Study in Legal Literacy.

  • Published In: Journal of Systemic Therapies, 2024, v. 43, n. 3. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Lockhart, Ezra N. S. 3 of 3

Abstract

In this article, I explore the critical role of clinical supervision in developing legal literacy among early career clinicians, emphasizing the impact of refined supervisory practices on ethical practice, professional identity, and client outcomes. Using a mentorship-apprenticeship framework, I present an approach to supervision that integrates systemic thinking, cultural humility, and inclusivity. Through a composite case study involving a supervisee of color, I examine how Haley's Strategic Model addresses complex dilemmas such as racial and gender discrimination and systemic biases in clinical practice. I highlight the effective application of Haley's Strategic Model to clinical supervision, showcasing its dynamic and creative problem-solving approach. The model's adaptability facilitated significant progress in the supervisee's professional development while upholding ethical standards in clinical practice. I evaluate the model's strengths and limitations, underscoring the need for adaptive and culturally responsive supervisory practices. Ultimately, my aim is to prepare clinicians to navigate modern clinical challenges effectively. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Systemic Therapies. 2024/09, Vol. 43, Issue 3, p1
  • Document Type:Article
  • Subject Area:Religion and Philosophy
  • Publication Date:2024
  • ISSN:1195-4396
  • DOI:10.1521/jsyt.2024.43.3.01
  • Accession Number:185308618
  • Copyright Statement:Copyright of Journal of Systemic Therapies is the property of Guilford Publications Inc. 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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