GPT models for text annotation: An empirical exploration in public policy research.

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Title: GPT models for text annotation: An empirical exploration in public policy research.
Authors: Churchill, Alexander1 (AUTHOR), Pichika, Shamitha2 (AUTHOR), Xu, Chengxin3 (AUTHOR) cxu1@seattleu.edu, Liu, Ying4 (AUTHOR)
Source: Policy Studies Journal. Feb2026, Vol. 54 Issue 1, p1-17. 17p.
Database: Business Source Ultimate
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An: 192436099
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  Data: GPT models for text annotation: An empirical exploration in public policy research.
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  Data: <searchLink fieldCode="AR" term="%22Churchill%2C+Alexander%22">Churchill, Alexander</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pichika%2C+Shamitha%22">Pichika, Shamitha</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Chengxin%22">Xu, Chengxin</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> cxu1@seattleu.edu</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Ying%22">Liu, Ying</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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      – Type: doi
        Value: 10.1111/psj.70034
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      – Code: eng
        Text: English
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        PageCount: 17
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      – TitleFull: GPT models for text annotation: An empirical exploration in public policy research.
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            NameFull: Churchill, Alexander
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            NameFull: Pichika, Shamitha
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            NameFull: Xu, Chengxin
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              Text: Feb2026
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              Y: 2026
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