HSSC_EGTC_Data_and_Supporting_Materials

This dataset contains the methodological scripts and evaluation materials supporting the study "DeepResearch-Enhanced Grounded Theory Coding for Interdisciplinary Knowledge Analysis." The package includes Python scripts for the three-phase EGTC pipeline (Phase 1: parallel open and axial coding across three large language models; Phase 2: cross-model meta-coding and standardisation; Phase 3: DeepResearch-based selective coding), Python scripts for the three single-model baseline conditions (DeepSeek, Kimi, and Qwen one-shot workflows), a five-dimension expert blind evaluation form, and a blank semantic correspondence annotation table used for Fleiss' κ inter-annotator agreement assessment.