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Analysing language, sex and age in a corpus of patient feedback: A comparison of approaches

Research output: Book/Report/Proceedings › Book

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Analysing language, sex and age in a corpus of patient feedback: A comparison of approaches. / Baker, Paul; Brookes, Gavin.
Cambridge: Cambridge University Press, 2022. 75 p. (Elements in Corpus Linguistics).

Research output: Book/Report/Proceedings › Book

Harvard

Baker, P & Brookes, G 2022, Analysing language, sex and age in a corpus of patient feedback: A comparison of approaches. Elements in Corpus Linguistics, Cambridge University Press, Cambridge. <https://www.cambridge.org/gb/universitypress/subjects/languages-linguistics/applied-linguistics-and-second-language-acquisition/analysing-language-sex-and-age-corpus-patient-feedback-comparison-approaches?format=PB>

APA

Baker, P., & Brookes, G. (2022). Analysing language, sex and age in a corpus of patient feedback: A comparison of approaches. (Elements in Corpus Linguistics). Cambridge University Press. https://www.cambridge.org/gb/universitypress/subjects/languages-linguistics/applied-linguistics-and-second-language-acquisition/analysing-language-sex-and-age-corpus-patient-feedback-comparison-approaches?format=PB

Vancouver

Baker P, Brookes G. Analysing language, sex and age in a corpus of patient feedback: A comparison of approaches. Cambridge: Cambridge University Press, 2022. 75 p. (Elements in Corpus Linguistics).

Author

Baker, Paul ; Brookes, Gavin. / Analysing language, sex and age in a corpus of patient feedback : A comparison of approaches. Cambridge : Cambridge University Press, 2022. 75 p. (Elements in Corpus Linguistics).

Bibtex

@book{c1b234237259416899fd17ba09b9d710,
title = "Analysing language, sex and age in a corpus of patient feedback: A comparison of approaches",
abstract = "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.",
author = "Paul Baker and Gavin Brookes",
year = "2022",
month = jul,
day = "21",
language = "English",
isbn = "9781009013772",
series = "Elements in Corpus Linguistics",
publisher = "Cambridge University Press",
address = "United Kingdom",

}

RIS

TY - BOOK

T1 - Analysing language, sex and age in a corpus of patient feedback

T2 - A comparison of approaches

AU - Baker, Paul

AU - Brookes, Gavin

PY - 2022/7/21

Y1 - 2022/7/21

N2 - 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.

AB - 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.

M3 - Book

SN - 9781009013772

T3 - Elements in Corpus Linguistics

BT - Analysing language, sex and age in a corpus of patient feedback

PB - Cambridge University Press

CY - Cambridge

ER -