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    Lokal extrem Rechts

    Analysen alltäglicher Vergesellschaftungen

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    Contributor(s)
    Mullis, Daniel (editor)
    Miggelbrink, Judith (editor)
    Language
    German
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    Abstract
    Seit dem Aufstieg der AfD und der Selbstenttarnung des NSU werden Ursachen und Hintergründe für das Erstarken extrem rechter Politiken in Deutschland intensiv diskutiert. Doch dabei fehlt es zumeist an qualitativen Analysen und differenzierten räumlichen Betrachtungen jenseits von Stadt-Land- oder Ost-West-Polarisierungen. Die Beitragenden des Bandes verstehen das Lokale als Ort individueller und emotionaler Aneignungsprozesse und analysieren lokale Vergesellschaftungen im Kontext politischer Transformation. Ihre Analysen ermöglichen einen vergleichenden Blick auf lokale Konstellationen. Damit leisten sie einen komplementären und innovativen Beitrag zur empirisch fundierten und theoretisch orientierten Analyse gesellschaftlicher Regression.
    URI
    https://library.oapen.org/handle/20.500.12657/54301
    Keywords
    Rechtsextremismus; Deutschland; Raum; Geographie; Alltag; Raumproduktion; Identität; Rechtspopulismus; Stadt; Land; Provinz; Nationalismus; Kartierung; Politik; Rassismus; Sozialgeographie; Right-wing Extremism; Germany; Space; Geography; Everyday Life; Production of Space; Identity; Right-wing-populism; City; Country; Province; Nationalism; Mapping; Politics; Racism; Social Geography
    DOI
    10.1515/9783839456842
    ISBN
    9783839456842, 9783837656848, 9783839456842
    Publisher
    transcript Verlag
    Publisher website
    https://www.transcript-verlag.de/
    Publication date and place
    Bielefeld, 2022
    Imprint
    transcript Verlag
    Series
    Sozial- und Kulturgeographie, 48
    Pages
    284
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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