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  1. Analysing language, sex and age in a corpus of patient feedback
    a comparison of approaches
    Erschienen: 2022
    Verlag:  Cambridge University Press, Cambridge

    "This Element explores approaches to locating and examining social identity in corpora with and without the aid of demographic metadata. This is a key concern in corpus-aided studies of language and identity, and this Element sets out to explore the... mehr

    Universitätsbibliothek Regensburg
    uneingeschränkte Fernleihe, Kopie und Ausleihe

     

    "This Element explores approaches to locating and examining social identity in corpora with and without the aid of demographic metadata. This is a key concern in corpus-aided studies of language and identity, and this Element sets out to explore the main challenges and affordances associated with either approach and to discern what either approach can (and cannot) show. It describes two case studies which each compare two approaches to social identity variables - sex and age - in a corpus of 14-million words of patient comments about NHS cancer services in England. The first approach utilises demographic tags to group comments according to patients' sex/age while the second involves categorising cases where patients disclose their sex/age in their comments. This Element compares the findings from either approach, with the approaches themselves being critically discussed in terms of their implications for corpus-aided studies of language and identity." Klappentext

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    ISBN: 9781009013772
    RVK Klassifikation: ES 150 ; ES 900 ; HF 450 ; HF 119 ; ES 700
    Schriftenreihe: Cambridge elements. Elements in corpus linguistics
    Schlagworte: Altersbestimmung; Soziolinguistik; Korpus <Linguistik>; Geschlechterforschung; Englisch
    Weitere Schlagworte: Sociolinguistics / Methodology
    Umfang: 79 Seiten, Diagramme