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Journal of Language and Sexuality最新文献

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Language, sexuality and corpus linguistics 语言、性与语料库语言学
IF 2.1 Q1 Arts and Humanities Pub Date : 2018-08-27 DOI: 10.1075/JLS.17018.BAK
Jack Baker
In this paper I discuss the potential that corpus linguistics approaches have to make in terms of enabling research on language and sexuality. After giving some background relating to my involvement in the development of this approach and discussion of some of the benefits of using corpus linguistics, I then outline some potential areas for concern, including: misconceptions of the field as only quantitative, the danger of reading only concordance lines, over-reliance on the idea of removing bias, the tendency of corpus approaches to focus on difference or easily searchable features and issues with copyright and ethics. I then discuss potential future directions that the approach could take, focussing on work in non-western and non-English contexts, the development of new tools such as Lancsbox, and the integration of multimodal analyses, using examples from my own work and others.
在本文中,我讨论了语料库语言学方法在语言和性研究方面的潜力。在介绍了一些与我参与开发这种方法有关的背景,并讨论了使用语料库语言学的一些好处之后,我概述了一些潜在的关注领域,包括:对该领域仅定量的误解,只读一致性行的危险,过度依赖消除偏见的想法,语料库方法倾向于关注差异或易于搜索的特征,以及版权和道德问题。然后,我讨论了该方法可能采取的潜在未来方向,重点关注非西方和非英语背景下的工作,新工具(如Lancsbox)的发展,以及多模态分析的整合,并使用我自己和其他人的工作中的例子。
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引用次数: 16
“I wanna be a toy” “我想成为一个玩具”
IF 2.1 Q1 Arts and Humanities Pub Date : 2018-08-27 DOI: 10.1075/JLS.17016.WEB
Lexi Webster
The paradigmatic transgender woman is often negatively oversexualised, pornographised and fetishised in mainstream conceptualisations and discourses. However, self-sexualisation by transgender individuals is often portrayed as a (sex-)positive social phenomenon. Little research has been conducted that analyses the self-sexualisation strategies of the multiple instantiations of gender-variant identity, including transmasculine and non-binary social actors. This paper uses a corpus-informed socio-cognitive approach to critical discourse studies to identify differences between the self-sexualisation strategies and underpinning cognitive models of different gender-variant user-groups on Twitter. 2,565 users are coded into five categories: (1) transfeminine; (2) transmasculine; (3) transsexual; (4) transvestite; (5) non-binary. Findings show that transvestite- and transsexual-identifying users most closely fit the pornographised and fetishised conceptualisation, whilst non-binary users are the least self-sexualising user-group.
在主流观念和话语中,典型的跨性别女性往往被消极地过度性化、色情化和恋物化。然而,变性人的自我性化通常被描绘成一种(性)积极的社会现象。很少有研究分析性别变异身份的多种实例的自我性化策略,包括跨性别和非二元社会行动者。本文采用基于语料的社会认知方法进行批判性话语研究,以确定Twitter上不同性别变异用户群体的自我性别化策略和基础认知模型之间的差异。(2) transmasculine;(3)变性;(4)易装癖者;(5)非二进制。调查结果显示,异装癖和变性认同的用户最符合色情化和恋物化的概念,而非二元用户是自我性化程度最低的用户群体。
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引用次数: 8
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Journal of Language and Sexuality
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