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        Bewertungen – Erwartungen – Gebrauch

        Sprachgebrauchsnormen zur inneren Mehrsprachigkeit an der Universität (Volume 184)

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        Author(s)
        Vergeiner, Philip C.
        Collection
        Knowledge Unlatched (KU); KU Open Services
        Language
        German
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        Abstract
        Inwiefern regeln soziale Normen den Gebrauch unterschiedlicher Varietäten in der Hochschullehre? Philip C. Vergeiner untersucht dies in seiner Fallstudie zur Universität Salzburg schwerpunktmäßig für die lautliche Variation im Deutschen auf der Dialekt-/Standardachse. Am Beginn der Arbeit entwickelt er eine praxeologische Normkonzeption, der zufolge durch den Rückbezug von Handlungsregelmäßigkeiten auf normative Wertungen und Erwartungen auf das Vorhandensein sozialer Normen geschlossen werden kann. Um in diesem Sinne Sprachgebrauchsnormen aufzudecken, verwendet Vergeiner ein Mixed-Methods-Design, welches objekt- und metasprachliche Daten trianguliert: Neben einer quantitativ-statistischen Analyse von Fragebögen und einer Inhaltsanalyse von Interviews, um den normativen Diskurs freizulegen, untersucht er den tatsächlichen Sprachgebrauch anhand universitärer Lehrveranstaltungen.
        URI
        https://library.oapen.org/handle/20.500.12657/47831
        Keywords
        Language Arts & Disciplines; Linguistics
        DOI
        https://doi.org/10.25162/9783515128841
        ISBN
        9783515128841
        Publisher
        Franz Steiner Verlag
        Publisher website
        http://www.steiner-verlag.de/
        Publication date and place
        2021
        Grantor
        • Knowledge Unlatched
        Imprint
        Franz Steiner Verlag
        Classification
        Linguistics
        Language and Linguistics
        Rights
        https://creativecommons.org/licenses/by-sa/4.0/legalcode
        • Harvested from KU

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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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