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        Thinking of Space Relationally

        Critical Realism Beyond Relativism - A Manifold Study of the Artworld in Beijing

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        Author(s)
        Gao, Xiaoxue
        Language
        English
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        Abstract
        Since the relational turn, scholars have combated methodological universalism, nationalism, and individualism in researching social-spatial transformations. Yet, when leaving the gaps between the traveling and local epistemic assumptions unattended, engaging relational spatial theories in empirical research may still reproduce established theoretical claims. Following the sociology of knowledge tradition and taking Critical Realism as a meta-theoretical framework, Xiaoxue Gao takes relational spatial theories as traveling conceptual knowledge and develops meaningful and context-sensitive ways of engaging them in studying the complex urban phenomenon in China. She offers conceptual elucidations and methodological roadmaps, which leap productively from employing plural causal hypotheses to generating effect-based explanations for locally observable events. They are exemplified by manifold interrogations of Beijing's Artworld as a conjuncture of particular events.
        URI
        https://library.oapen.org/handle/20.500.12657/48353
        Keywords
        Relational Space; Critical Realism; Artworld; China; Space; Art; Science; Sociology of Knowledge; Sociology of Art; Sociology
        DOI
        10.14361/9783839455876
        ISBN
        9783839455876, 9783839455876, 9783837655872
        Publisher
        transcript Verlag
        Publisher website
        https://www.transcript-verlag.de/
        Publication date and place
        Bielefeld, 2021
        Grantor
        • Technische Universität Berlin - [grantnumber unknown]
        Imprint
        transcript Verlag
        Series
        Urban Studies,
        Classification
        Sociology
        Human geography
        Theory of art
        Pages
        282
        Rights
        https://creativecommons.org/licenses/by-sa/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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