Autore
Battista, Alessia

Titolo
Sustainable Development Goal 4 across Institutional and Academic Discourses: An Analysis Integrating Corpus Linguistics and Artificial Intelligence
Periodico
Textus
Anno: 2025 - Fascicolo: 3 - Pagina iniziale: 221 - Pagina finale: 252

This paper explores a selection of UN publications focusing on Sustainable Development Goal (SDG) number 4, which aims at fostering inclusive and equitable quality education and lifelong learning opportunities for all (United Nations n.d.-a), using a corpus-based approach. Two subcorpora will be analysed: open access scholarly papers and UN publications on SDG4 published between 2016 and 2024. The aim is to identify and compare the prevalent themes and discursive narratives about SDG4 across two genres, namely academic and institutional publications, as identified by a human researcher and a custom AI-powered tool combining corpus linguistics (Baker 2023) and Artificial Intelligence (Zappavigna 2023). Using the web-based platform Sketch Engine (Lexical Computing Ltd. n.d.), wordlists, keywords, and collocations will be explored. Additionally, this study will explore “discourse as representation” (Mahlberg 2014: 221) and cultural keywords (Bennett et al. 2005; Williams 2015), which are particularly relevant when dealing with issues of sociocultural significance, as is the case with SDGs. Then, the corpus will be examined by a custom GPT model, Corpus Linguist (Battista and OpenAI 2025), which has been created as an experiment aimed at understanding the potentialities (and limitations) of AI tools assisting human linguists. This analysis addresses the interdisciplinary dialogue between corpus linguistics and digital humanities by foregrounding the opportunities and methodological challenges of integrating AI and corpus linguistics (Smith et al. 2021) within the broader field of digital humanities.



SICI: 1824-3967(2025)3<221:SDG4AI>2.0.ZU;2-K
Testo completo: https://www.rivisteweb.it/download/article/10.7370/119425
Testo completo alternativo: https://www.rivisteweb.it/doi/10.7370/119425

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