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Alexander Churchill

Biographic Data

ID4393242
NAMEAlexander Churchill
GIVEN NAMESAlexander
FAMILY NAMEChurchill
SIGNATURECHURCHILL A
AFFILIATIONSAlbers School of Business and Economics Seattle University Seattle Washington USA
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS4
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX1
  • GPT models for text annotation

    Open Access•Alexander Churchill, Shamitha Pichika et al.•ARTICLE•Policy Studies Journal•2025•Cited by: 4•References: 30

    Text annotation, the practice of labeling text following a predetermined scheme, is essential to qualitative public policy research. Despite its importance, annotating large qualitative data faces challenges of high labor and time costs. Recent developments in large language models (LLMs), specifically models with generative pretrained transformers (GPTs), show a potential approach that may alleviate the burden of manual text annotation. In this …

  • GPT models for text annotation

    Open Access•Alexander Churchill, Shamitha Pichika et al.•ARTICLE•Policy Studies Journal•2025•Cited by: 4•References: 30

    Text annotation, the practice of labeling text following a predetermined scheme, is essential to qualitative public policy research. Despite its importance, annotating large qualitative data faces challenges of high labor and time costs. Recent developments in large language models (LLMs), specifically models with generative pretrained transformers (GPTs), show a potential approach that may alleviate the burden of manual text annotation. In this …

  • GPT models for text annotation

    Open Access•Alexander Churchill, Shamitha Pichika et al.•ARTICLE•Policy Studies Journal•2025•Cited by: 4•References: 30

    Text annotation, the practice of labeling text following a predetermined scheme, is essential to qualitative public policy research. Despite its importance, annotating large qualitative data faces challenges of high labor and time costs. Recent developments in large language models (LLMs), specifically models with generative pretrained transformers (GPTs), show a potential approach that may alleviate the burden of manual text annotation. In this …

Annotation (1 works) · Artificial Intelligence (1 works) · Computational and Text Analysis Methods (1 works) · Computer Science (1 works) · Empirical research (1 works) · Epistemology (1 works) · Philosophy (1 works) · Philosophy (1 works) · Political science (1 works) · Public Administration (1 works)

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