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. |
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| 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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/psj.70034 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: GPT models for text annotation: An empirical exploration in public policy research. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Churchill, Alexander – PersonEntity: Name: NameFull: Pichika, Shamitha – PersonEntity: Name: NameFull: Xu, Chengxin – PersonEntity: Name: NameFull: Liu, Ying IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 0190292X Numbering: – Type: volume Value: 54 – Type: issue Value: 1 Titles: – TitleFull: Policy Studies Journal Type: main |
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