建立创客联盟

IF 1.6 3区 社会学 Q2 ETHNIC STUDIES
J. Römer
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引用次数: 0

摘要

美国前总统唐纳德·特朗普的言论是如何吸引跨越阶级、种族和民族界限的公众的?重要的学术研究探讨了特朗普语言中普遍存在的种族主义和仇外心理;尽管发表了贬损性的演讲,但特朗普还是建立了一个广泛的政治联盟。本文考察了特朗普利用生产主义话语的方式,通过将种族作为一种形态来构建关于“制造者”形象价值的道德论证——他的修辞中的企业家主角。本文运用话语分析框架,突出了特朗普如何利用立场间接地将其谈话对象种族化和性别化。这篇文章的目的是双重的。首先,它提供了一种基于话语的方法来分析明确的种族主义和排他性话语如何被受众解释为包容性话语,从而进一步促进了对种族化和色盲种族主义的研究。其次,以特朗普的修辞为基础,它展示了种族化、性别化和反犹太主义的语言是如何成为一种话语结构的一部分的,这种话语结构使得生产主义的新自由主义理想吸引了一个不断扩大的政治联盟——矛盾的是,因为它是一种指向局外人的道德化话语。通过分析怨恨话语中的立场,我们可以理解种族化、性别化的意识形态和反犹太主义是如何共同作用的,同时包容和排斥非白人观众。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building a Coalition of Makers
How was former U.S. President Donald Trump’s rhetoric crafted to appeal to a public that cross-cut class, racial, and ethnic boundaries? Significant scholarship has addressed the prevalence of racism and xenophobia in Trump’s language; nevertheless Trump was able to build a broad political coalition despite this derogatory speech. This article examines the ways in which Trump leverages producerist discourse by using race as a modality to construct a moral argument about the worthiness of the figure of the ‘maker’—the entrepreneurial protagonist of his rhetoric. Using a discourse analytic framework, it highlights how Trump uses stance to indirectly racialize and gender the subjects of his talk. The aim of this article is twofold. First, furthering scholarship on racialization and colorblind racism, it offers a discourse-based method for analyzing how an explicitly racist and exclusionary discourse can be interpreted by audiences as an inclusive one. Second, building on scholarship on Trump’s rhetoric, it shows how racialized, gendered, and anti-Semitic language is part of a discursive formation that makes the neoliberal ideal of producerism appealing to an expanding political coalition—paradoxically because it is a moralizing discourse that names outsiders. By analyzing stance-taking within discourses of ressentiment, it is possible to understand how racialized and gendered ideologies and anti-Semitism work together to simultaneously include and exclude non-White audiences.
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来源期刊
CiteScore
1.90
自引率
7.70%
发文量
16
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