Social and transitional identity: exploring social networks and their significance in a therapeutic community setting
Social and transitional identity: exploring social networks and their significance in a therapeutic community setting
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DOI：
10.1108/tc-04-2013-0007
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发表时间：
2014-01-01
影响因子：
0.2
通讯作者：
Jetten, Jolanda
中科院分区：
文献类型：
--
作者：
Best, David;Lubman, Dan I.;Jetten, Jolanda
目的----有大量文献表明社会联系的重要性及其与幸福的关系。对于问题物质使用者，类似的文献强调了从支持使用的社会网络过渡到促进恢复的社会网络的重要性。在这一框架内，治疗社区被视为采取过渡身份（即从“吸毒者”到“治疗社区成员”）的关键场所，是治疗后出现“康复身份”的一部分。本文的目的是概述了一个模型的概念化和测量的基础上的社会认同和恢复资本的理论，并试点在TC setting.Design/方法/途径的模型-社会身份映射与TC居民测试他们的身份与“使用”和“TC”组，结果-网络映射方法是可以接受的TC居民，并对TC居民的社交网络和社会身份提供了有价值的见解。研究限制/影响-本文探讨了映射社会身份及其潜力的TC和其他住宅settings.Originality/值-本文集成了一些概念模型，以创建一个新的框架，用于理解在社交网络治疗过程中的过渡和报告的一种新的测量方法的基础。
Purpose - There is considerable literature indicating the importance of social connectedness and its relationship to wellbeing. For problem substance users, a similar literature emphasises the importance of the transition from a social network supportive of use to one that fosters recovery. Within this framework, the therapeutic community (TC) is seen as a critical location for adopting a transitional identity (i.e. from a "drug user" to a "member of the TC"), as part of the emergence of a "recovery identity" following treatment. The purpose of this paper is to outline a model for conceptualising and measuring identity based on the theories of social identity and recovery capital, and pilots this model within a TC setting.Design/methodology/approach - A social identity mapping was used with TC residents to test their identification with "using" and "TC" groups, and their relationship to recovery capital.Findings - The network mapping method was acceptable to TC residents, and provided valuable insights into the social networks and social identity of TC residents.Research limitations/implications - This paper explores issues around mapping social identity and its potential in the TC and other residential settings.Originality/value - The paper integrates a number of conceptual models to create a new framework for understanding transitions in social networks during treatment and reports on a novel measurement method underpinning this.