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        <title>LLM-Based Metadiscourse Analysis of Demographic Variations in ELL Hedge Use</title>
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            <namePart type="given">Joshua</namePart>
            <namePart type="family">Wilson</namePart>
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    <abstract>Using an LLM-assisted pipeline, this study examines sociodemographic variation in English Language Learners’ hedge use across 6,500 essays. Regression analyses are expected to show that gender, race, and SES predict hedge density and category-specific variation, which subsequently predict writing scores. Beyond scaling annotation, the study evaluates whether LLM-derived metadiscourse indicators provide interpretable evidence about rhetorical development in ELL writing.</abstract>
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%0 Conference Proceedings
%T LLM-Based Metadiscourse Analysis of Demographic Variations in ELL Hedge Use
%A Xu, Xinyu
%A Xu, Tianyu
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-1-7
%F xu-xu-2026-llm
%X Using an LLM-assisted pipeline, this study examines sociodemographic variation in English Language Learners’ hedge use across 6,500 essays. Regression analyses are expected to show that gender, race, and SES predict hedge density and category-specific variation, which subsequently predict writing scores. Beyond scaling annotation, the study evaluates whether LLM-derived metadiscourse indicators provide interpretable evidence about rhetorical development in ELL writing.
%U https://aclanthology.org/2026.aimecon-wip.53/
%P 416-422

Markdown (Informal)

[LLM-Based Metadiscourse Analysis of Demographic Variations in ELL Hedge Use](https://aclanthology.org/2026.aimecon-wip.53/) (Xu & Xu, AIME-Con 2026)

• LLM-Based Metadiscourse Analysis of Demographic Variations in ELL Hedge Use (Xu & Xu, AIME-Con 2026)

ACL

• Xinyu Xu and Tianyu Xu. 2026. LLM-Based Metadiscourse Analysis of Demographic Variations in ELL Hedge Use. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 416–422, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).