Positioning GenAI in academic research discourse: Data and reproducibility materials
Year: 2026
Type: preprint
Abstract: This project contains the data and reproducibility materials for the study “Positioning GenAI in academic research discourse: Layered grammatical patterns and the limits of a single agency gradient.” The project provides the de-identified analytical dataset, coding documentation, and executable analysis scripts underlying the revised study. The study examines how GenAI references are grammatically positioned in Discussion sections of GenAI-related academic writing research articles using a layered grammatical framework distinguishing Host_rank, Clause_function, and Subject_status. The repository includes materials necessary to reproduce the reported analyses while protecting the identity of sampled source articles and maintaining the integrity of the coded dataset.
Author: Xuanyu Gu
Language: English
Subfield: Linguistics and Language
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7203872689