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Problematising Characteristicness: A Biomedical Association Case Study

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Problematising Characteristicness : A Biomedical Association Case Study. / Prentice, Sheryl; Knight, Jo; Rayson, Paul et al.

In: International Journal of Corpus Linguistics, Vol. 26, No. 3, 31.08.2021, p. 305-335.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Prentice S, Knight J, Rayson P, El-Haj M, Rutherford N. Problematising Characteristicness: A Biomedical Association Case Study. International Journal of Corpus Linguistics. 2021 Aug 31;26(3):305-335. Epub 2021 Aug 23. doi: 10.1075/ijcl.19019.pre

Author

Prentice, Sheryl ; Knight, Jo ; Rayson, Paul et al. / Problematising Characteristicness : A Biomedical Association Case Study. In: International Journal of Corpus Linguistics. 2021 ; Vol. 26, No. 3. pp. 305-335.

Bibtex

@article{09c4d6d063734433ae5d7559ecd18538,
title = "Problematising Characteristicness: A Biomedical Association Case Study",
abstract = "Keyness is a commonly used method in corpus linguistics and is assumed to identify key items that are characteristic of 1 corpus when compared to another. This paper puts this assumption to the test by comparing case study corpora in the fields of genetic, immunological and psychiatric biomedical association studies, using what we refer to as a {\textquoteleft}K-FLUX{\textquoteright} analysis to produce a set of key items. Experts from within these fields are asked to evaluate the extent to which identified key items are characteristic of their discipline. The paper concludes that less than 50% of the items identified by the method are rated as highly characteristic by experts and that this ranges between types of association study. Further, there is difficulty in reaching a consensus over what is deemed to be {\textquoteleft}characteristic{\textquoteright}, thus posing a challenge to the ultimate aim of the keyness method. The paper demonstrates the value of supporting corpus linguistic studies with expert assessments to evaluate whether (and which) items can be said to be indicative of a particular field.",
keywords = "key items, keyness, characteristic, evaluation, biomedical",
author = "Sheryl Prentice and Jo Knight and Paul Rayson and Mahmoud El-Haj and Nathan Rutherford",
note = "This article has been accepted for publication in International Journal of Corpus Linguistics, Volume 26, Issue 3, 2021, pages: 305-335, {\textcopyright} 2021 John Benjamins, the publisher should be contacted for permission to re-use the material in any form. ",
year = "2021",
month = aug,
day = "31",
doi = "10.1075/ijcl.19019.pre",
language = "English",
volume = "26",
pages = "305--335",
journal = "International Journal of Corpus Linguistics",
issn = "1384-6655",
publisher = "John Benjamins Publishing Company",
number = "3",

}

RIS

TY - JOUR

T1 - Problematising Characteristicness

T2 - A Biomedical Association Case Study

AU - Prentice, Sheryl

AU - Knight, Jo

AU - Rayson, Paul

AU - El-Haj, Mahmoud

AU - Rutherford, Nathan

N1 - This article has been accepted for publication in International Journal of Corpus Linguistics, Volume 26, Issue 3, 2021, pages: 305-335, © 2021 John Benjamins, the publisher should be contacted for permission to re-use the material in any form.

PY - 2021/8/31

Y1 - 2021/8/31

N2 - Keyness is a commonly used method in corpus linguistics and is assumed to identify key items that are characteristic of 1 corpus when compared to another. This paper puts this assumption to the test by comparing case study corpora in the fields of genetic, immunological and psychiatric biomedical association studies, using what we refer to as a ‘K-FLUX’ analysis to produce a set of key items. Experts from within these fields are asked to evaluate the extent to which identified key items are characteristic of their discipline. The paper concludes that less than 50% of the items identified by the method are rated as highly characteristic by experts and that this ranges between types of association study. Further, there is difficulty in reaching a consensus over what is deemed to be ‘characteristic’, thus posing a challenge to the ultimate aim of the keyness method. The paper demonstrates the value of supporting corpus linguistic studies with expert assessments to evaluate whether (and which) items can be said to be indicative of a particular field.

AB - Keyness is a commonly used method in corpus linguistics and is assumed to identify key items that are characteristic of 1 corpus when compared to another. This paper puts this assumption to the test by comparing case study corpora in the fields of genetic, immunological and psychiatric biomedical association studies, using what we refer to as a ‘K-FLUX’ analysis to produce a set of key items. Experts from within these fields are asked to evaluate the extent to which identified key items are characteristic of their discipline. The paper concludes that less than 50% of the items identified by the method are rated as highly characteristic by experts and that this ranges between types of association study. Further, there is difficulty in reaching a consensus over what is deemed to be ‘characteristic’, thus posing a challenge to the ultimate aim of the keyness method. The paper demonstrates the value of supporting corpus linguistic studies with expert assessments to evaluate whether (and which) items can be said to be indicative of a particular field.

KW - key items

KW - keyness

KW - characteristic

KW - evaluation

KW - biomedical

U2 - 10.1075/ijcl.19019.pre

DO - 10.1075/ijcl.19019.pre

M3 - Journal article

VL - 26

SP - 305

EP - 335

JO - International Journal of Corpus Linguistics

JF - International Journal of Corpus Linguistics

SN - 1384-6655

IS - 3

ER -