Gender Equity, Internationalization, and the Quintuple Helix: Comparative NLP Analysis of University Strategies in Japan and Turkiye

dc.contributor.author Rogler, Andreas
dc.contributor.author Morozumi, Akiko
dc.contributor.author Coymak, Ahmet
dc.contributor.author Bengu, Elif
dc.date.accessioned 2026-03-23T14:49:39Z
dc.date.available 2026-03-23T14:49:39Z
dc.date.issued 2026
dc.description.abstract As higher education institutions (HEIs) seek to align with Sustainable Development Goals (SDGs), integrating diversity, equity, and inclusion (DEI) into internationalization strategies has become increasingly central. In this study, we analyze 209 university strategic plans, 86 from Japan (2022-2027) and 123 from Turkiye (2019-2023), to examine how institutional discourse frames gender equity, with a particular focus on SDG 5, gender equality. We identify clear and distinct national patterns using natural language processing (NLP) techniques (e.g., keyword frequency analysis, named entity recognition, and syntactic parsing) and are guided by the quintuple helix model (QHM). Japanese universities tend to emphasize societal engagement and forward-looking commitments through abstract language. In contrast, Turkish universities adopt a more bureaucratic and retrospective tone, often referring explicitly to named target groups. We find that both countries show limited engagement with intersectional identities and marginalized populations such as female faculty, migrants, and refugees, and both underutilize the civil society and environmental dimensions of the QHM. Although inclusive values frequently appear, strategic plans rarely include clear details on how to reach these goals. Based on our analysis, we propose a scalable, reproducible framework for evaluating inclusive internationalization. Our findings underscore the importance of moving beyond symbolic discourse and calling for more accountable, stakeholder-driven planning processes that embed DEI into the structural, curricular, and governance systems of HEIs.
dc.description.sponsorship The authors used generative AI tools (e.g., Grammarly, ChatGPT) during drafting and language refinement. The study analyzed publicly available institutional strategy documents obtained from official university and government websites in Japan and Tuerkiye; therefore, the study was exempt from ethical approval under institutional IRB guidelines. No human data were used. The study complied with principles of transparency, data protection, and the FAIR framework. This research was supported by the Scientific and Technological Research Council of Turkiye (TUBITAK) under the 2219 International Postdoctoral Research Fellowship Program, awarded to the first author.
dc.description.sponsorship Scientific and Technological Research Council of Turkiye (TUBITAK) under the 2219 International Postdoctoral Research Fellowship Program
dc.identifier.doi 10.32674/je5apa51
dc.identifier.issn 2162-3104
dc.identifier.issn 2166-3750
dc.identifier.uri https://hdl.handle.net/20.500.12573/5839
dc.identifier.uri https://doi.org/10.32674/je5apa51
dc.language.iso en
dc.publisher Univ Louisiana Monroe
dc.rights info:eu-repo/semantics/openAccess
dc.subject Diversity
dc.subject Higher Education Institutions
dc.subject Comparative Higher Education
dc.subject Inclusive Internationalization
dc.subject Natural Language Processing
dc.subject Sdg 5
dc.subject Quintuple Helix Model
dc.subject Equity
dc.subject And Inclusion
dc.title Gender Equity, Internationalization, and the Quintuple Helix: Comparative NLP Analysis of University Strategies in Japan and Turkiye
dc.type Article
dspace.entity.type Publication
gdc.description.department Abdullah Gül University
gdc.description.departmenttemp [Bengu, Elif; Morozumi, Akiko] Univ Tokyo, Tokyo, Japan; [Bengu, Elif; Coymak, Ahmet] Abdullah Gul Univ, Kayseri, Turkiye; [Rogler, Andreas] Univ Oulu, Oulu, Finland
gdc.description.endpage 180
gdc.description.issue 8
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 153
gdc.description.volume 16
gdc.description.woscitationindex Emerging Sources Citation Index
gdc.identifier.wos WOS:001711850800005
gdc.index.type WoS
gdc.virtual.author Çoymak, Ahmet
gdc.virtual.author Bengü, Elif
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