Researchers have a number of methodological tools and theoretical frameworks at their disposal when examining how English language identities are constructed in lingua franca encounters, including a conversation analytic understanding of an “emic social reality”; according to this perspective, a speaker’s identity falls within the interests of a researcher if, and only when, it is made relevant through social interaction. This paper builds on this tradition by studying how language identities can be understood from multiple analytic perspectives, including from an emic perspective. Drawing from a corpus of chat room data, the study examines how the social categories used by interactants to engage in identity work, such as categories that are inherently deficit in orientation (e.g., foreign language learner), may not precisely align with the preferred categories used in the lingua franca literature, such as categories that are more positive in nature (e.g., expert language user). These observations are used to explore some of the general methodological issues that exist when situating an analysis of identity within the study of lingua franca interactions.

中文翻译：

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识别 ELF：通用语研究中社会类别的跨学科视角

研究人员在研究在通用语中如何构建英语身份时，可以使用许多方法论工具和理论框架，包括对“主位社会现实”的对话分析理解；根据这一观点，当且仅当通过社会互动使其具有相关性时，说话者的身份才符合研究人员的利益。本文建立在这一传统的基础上，通过研究如何从多种分析视角（包括主位视角）来理解语言身份。从聊天室数据的语料库中，该研究检查了交互者如何使用社会类别来从事身份工作，例如天生缺乏方向感的类别（例如，外语学习者），可能与通用语言文献中使用的首选类别不完全一致，例如本质上更积极的类别（例如，专家语言用户）。这些观察结果用于探索在通用语交互研究中进行身份分析时存在的一些一般方法问题。