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Titlebook: Language, Normativity and Europeanisation; Discursive Evidence Heiko Motschenbacher Book 2016 The Editor(s) (if applicable) and The Author

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書(shū)目名稱(chēng)Language, Normativity and Europeanisation
副標(biāo)題Discursive Evidence
編輯Heiko Motschenbacher
視頻videohttp://file.papertrans.cn/582/581140/581140.mp4
概述Contextualizes the development of European identity by considering the linguistic practices of different European nationals at a major venue where popular cultures intersect.Engages the gender and sex
叢書(shū)名稱(chēng)Postdisciplinary Studies in Discourse
圖書(shū)封面Titlebook: Language, Normativity and Europeanisation; Discursive Evidence  Heiko Motschenbacher Book 2016 The Editor(s) (if applicable) and The Author
描述This book focuses on linguistic practices of identity construction in a popular culture media context, the Eurovision Song Contest. Subscribing to a normativity-based approach to critical discourse analysis, it studies Europeanisation as it surfaces at the discursive interface of European, national and sexual identities in Eurovision lyrics and performances. Research in critical discourse analysis that deals with Europeanisation, or the discursive work involved in European identity formation, has so far mainly studied data from EU political contexts that illustrate a top-down approach to what Europeanness means. The present book complements this earlier research in several ways, focusing on the linguistic construction of identities, and its interrelation with non-linguistic modes of signification in the Eurovision Song Contest. Discursive mechanisms that prove to be central for the normative shifts of Europeanisation in the given context are de-essentialisation, inclusion, camp, crossing and languaging.
出版日期Book 2016
關(guān)鍵詞Critical discourse analysis; nationalism; sexuality; Eurovision Song Contest; pop music; communication; di
版次1
doihttps://doi.org/10.1057/978-1-137-56301-9
isbn_ebook978-1-137-56301-9Series ISSN 2946-5990 Series E-ISSN 2946-6008
issn_series 2946-5990
copyrightThe Editor(s) (if applicable) and The Author(s) 2016
The information of publication is updating

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Heiko Motschenbacherantic similarity approaches can explain how two terms are similar with help of rich knowledge in ontology. Information retrieval aims to find relevant information for given user query. As a subareas of information retrieval, dataset retrieval is an activity to find dataset which are relevant to an i
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ctures. Besides, medical data contains essential information that contributes to data exploration. However, the existing platforms based on Data Warehouse or Data Lake cannot effectively integrate more comprehensive multi-source heterogeneous medical data and efficiently manage large-scale multi-mod
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