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Advancing AI-Assisted Policy-Text Analysis: Revealing the Drive–Adaptation Model of Central–Local Governance

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Journal of Planning Education and Research

Published online on

Abstract

Journal of Planning Education and Research, Ahead of Print.
This study integrates fine-tuned large language models (LLMs) with Query-by-Committee (QBC) active learning to analyze 1,863 Chinese policy documents on new energy vehicles (2009–2024). The approach demonstrates how fine-tuning and active learning enable ...