Volume – 05, Issue – 01, Page : 01-15

Narrative Minds and Material Ecologies: Reconfiguring Classical Hermeneutics through Polycentric Classics and Digital Humanities

Author/s

1. Sofia Papadopoulos

2. Olivia Harris

Digital Object Identifier (DOI)

10.56106/ssc.2025.005

Date of Publication

26th September 2025

Abstract :
This narrative review outlines a polycentric future for Classical studies. It combines philological precision with computational tools, ethical governance, and public-facing teaching. The review is organized into seven sections. These move from corpus and tool transparency, to ethics, eco-sensory and affective interpretation, cognitive narratology and genre theory, and finally to reception, pedagogy, and civic engagement. The review synthesizes current research pipelines used in digital Classics. These link TEI and EpiDoc encodings, CTS URNs, and IIIF delivery systems with OCR and HTR correction work-flows. They also include multispectral and hyperspectral imaging, virtual unwrapping, stylometry, and constrained large language model collation. All methods are assessed using explicit uncertainty limits and reproducibility standards. Decolonizing practice is addressed through clear provenance tracking, consent registries, and transparent credit systems. The review re-frames race, ethnicity, and disability by emphasizing precise terminology, accessibility-focused design, and enforceable custodianship. It advances eco-materialist and multispecies approaches by connecting textual evidence with archaeological, environmental, and climatic data. Sensory history and affect are treated as structured, testable interpretive domains. The review draws on cognitive science to link narrative techniques such as focalization, metalepsis, and temporal structure with predictive processing, theory of mind, and appraisal theory. This alignment supports auditable interpretations across epic, lyric, historiography, philosophy, satire, and oratory. Reception is examined across film, comics, podcasts, and games. These are framed within universal design for learning, sustainability planning, and risk management. The review proposes clear standards for disclosure, auditing, and long-term maintenance. It concludes with an agenda focused on benchmark corpora, gold-standard collation graphs, model cards and open pedagogical studios. Together, these elements form a modular framework for a credible, equitable and durable discipline of Classics.

Keywords :
Classical Philology, Digital Humanities, Computational Philology, Textual Criticism, Papyrology, Epigraphy, Multispectral Imaging, Stylometry, Cognitive Narratology, Reception Studies, Public Humanities.

References :

  • Adriansyah, A., Elmustian, E., Sinaga, M., & Firdaus, M. (2024). Transformation of texts as expressive spaces in classic Malay literary works: Learning to write poems in philology courses. Al-Ishlah: Jurnal Pendidikan, 16(4), 5345–5356.
  • Babbitt, I. (2024). From Literature and the American college: Essays in defense of the humanities (1908). In G. Graff & M. Warner (Eds.), The origins of literary studies in America (pp. 111–120). Routledge.
  • Babenko, I., & Athavale, V. A. (2024). Methods of literary text analysis with the help of artificial intelligence. In International conference on distance education technologies (pp. 81–95). Springer Nature Switzerland.
  • Bambaci, L. (2021). Digitizing an eighteenth-century collation of Hebrew manuscripts: A rule-based parsing system for automatically encoding critical apparatus. In 2020 6th IEEE Congress on Information Science and Technology (CiSt) (pp. 198–203). IEEE.
  • Baranovska, L., Simkova, I., Akilli, E., Tarnavska, T., & Glushanytsia, N. (2023). Development of digital competence of future philologists: Case of Turkish and Ukrainian universities. Advanced Education, 23, 87–102.
  • Bennett, A., & Royle, N. (2023). An introduction to literature, criticism and theory. Routledge.
  • Biber, H. (2020). Challenges for making use of a large text corpus such as the “AAC–Austrian Academy Corpus” for digital literary studies. In Proceedings of the 8th Workshop on Challenges in the Management of Large Corpora (pp. 47–51).
  • Birpınar, M. E., Kızılöz, B., & Şişman, E. (2023). Classic trend analysis methods’ paradoxical results and innovative trend analysis methodology with percentile ranges. Theoretical and Applied Climatology, 153, Article 9.
  • Bizzoni, Y., Feldkamp, P., Thomsen, M. R., & Nielbo, K. (2023). Sentimental matters: Predicting literary quality by sentiment analysis and stylometric features. In Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (pp. 11–18).
  • Bories, A. S., Fabo, P. R., & Plecháč, P. (2022). The polite revolution of computational literary studies. Computational Stylistics in Poetry, Prose, and Drama, 1, 1–20.
  • Bozhenkova, N. A., Rubleva, E. V., & Baharloo, H. (2023). Dictionary of IT terms as a tool for Russian language studies and linguodidactics in the context of digitalization in education. Russian Language Studies, 21(4), 457–473.
  • Camps, J. B., Gabay, S., & Riva, G. F. (2021). Open stemmata: A digital collection of textual genealogies. In EADH2021: Interdisciplinary Perspectives on Data, 2nd International Conference of the European Association for Digital Humanities.
  • Cimiano, P., Chiarcos, C., McCrae, J. P., & Gracia, J. (2020). Linguistic linked data in digital humanities. In Linguistic linked data: Representation, generation and applications (pp. 229–262). Springer International Publishing.
  • Cowen-Breen, C., Brooks, C., Graziosi, B., & Haubold, J. (2023). Logion: Machine-learning-based detection and correction of textual errors in Greek philology. In Proceedings of the Ancient Language Processing Workshop (pp. 170–178).
  • Cugliana, E., & van Zundert, J. J. (2022). A computational turn in digital philology questions. Filologia Germanica, 14, 43–58.
  • De Gussem, J., Niskanen, S., & Willoughby, J. (2022). Computational stylistics and medieval texts. In Routledge Resources Online: Medieval Studies (pp. 1–12). Routledge.
  • Del Grosso, A. M., Zenzaro, S., Boschetti, F., & Ranocchia, G. (2023). GreekSchools: Making traditional papyrology machine actionable through domain-driven design. In 2023 7th IEEE Congress on Information Science and Technology (CiSt) (pp. 621–626). IEEE.
  • Dörpinghaus, J. (2022). Digital theology: New perspectives on interdisciplinary research between the humanities and theology. Interdisciplinary Journal of Research on Religion, 18, 1–20.
  • Dubrovskaya, E. M., Filonova, A. I., & Matveeva, I. V. (2023). Prospects for artificial intelligence technologies, neural networks and computer systems within the development of linguistics. In 2023 IEEE 24th International Conference of Young Professionals in Electron Devices and Materials (EDM) (pp. 2120–2123). IEEE.
  • Elwert, F. (2021). Computational text analysis. In The Routledge handbook of research methods in the study of religion (pp. 164–179). Routledge.
  • Fitzmaurice, S., & Mehl, S. (2022). Introduction: Digital methods for studying meaning in historical English. Transactions of the Philological Society, 120(3), 397–398.
  • Ganiyeva, D., Aliyeva, N., Karimova, S., Ismoilova, D., & Jurayev, I. (2024). Digital Dickens: AI and the future of classic literature interpretation. In 2024 International Conference on IoT, Communication and Automation Technology (ICICAT) (pp. 322–328). IEEE.
  • Ghali, W. (2023). Old, new or digital philology. New Methodological Perspectives in Islamic Studies, 20, 137–158.
  • Goldhill, S., & Greensmith, E. (2024). The poet’s voice: Essays on poetics and Greek literature. Cambridge University Press.
  • Graff, G. (2024). Professing literature: An institutional history. University of Chicago Press.
  • Graff, G., & Warner, M. (2024). Introduction: The origins of literary studies in America. In G. Graff & M. Warner (Eds.), The origins of literary studies in America (pp. 1–14). Routledge.
  • Graff, G., & Warner, M. (Eds.). (2024). The origins of literary studies in America: A documentary anthology. Taylor & Francis.
  • Graziosi, B., Haubold, J., Cowen-Breen, C., & Brooks, C. (2023). Machine learning and the future of philology: A case study. Transactions of the American Philological Association, 153(1), 253–284.
  • Gryaznova, E., Kirina, M., Mikhailova, P., Zarembo, V., & Moskvina, A. (2022). Machine learning and philology: An overview of methods and applications. In International conference on internet and modern society (pp. 69–84). Springer Nature Switzerland.
  • Guillory, J. (2022). Professing criticism: Essays on the organization of literary study. University of Chicago Press.
  • Haselswerdt, E., Lindheim, S. H., & Ormand, K. (Eds.). (2023). The Routledge handbook of classics and queer theory. Routledge.
  • Hatzel, H. O., Stiemer, H., Biemann, C., & Gius, E. (2023). Machine learning in computational literary studies. IT – Information Technology, 65(4–5), 200–217.
  • Jackson, M. K. (2021). Review of Passwords: Philology, security, authentication. Surveillance & Society, 19(2), 279–281.
  • Johnson, M. (2022). Sexuality in Greek and Roman society and literature: A sourcebook. Routledge.
  • Jones Jr., W. B. (2024). Classics illustrated: A cultural history. McFarland.
  • Klarer, M. (2023). An introduction to literary studies. Routledge.
  • Krasniuk, S. (2024). Modern data science in philology. In 5th International Scientific and Practical Conference “Diversity and Inclusion in Scientific Area”. CEAC Polonia.
  • Krasniuk, S. O. (2024). Mathematical optimization in philology. In Sworld-US conference proceedings (No. USC27-00, pp. 109–115).
  • Krasniuk, S., & Goncharenko, S. (2024). Big data in philology. In Débats scientifiques et orientations prospectives du développement scientifique. La Fedeltà & UKRLOGOS Group LLC.
  • Kudinova, O., Kudinova, V., & Kondratenko, N. (2021). Digital humanities as a way of teaching disciplines of philological series. In ICERI2021 proceedings (pp. 3846–3851). IATED.
  • Lamb, J. P. (2020). Computational philology. Memoria di Shakespeare: A Journal of Shakespearean Studies, (7), 1–15.
  • Li, C. (2020). Philology and digital humanities. In The Routledge handbook of yoga and meditation studies (pp. 383–392). Routledge.
  • Li, J. (2022). The positive influence of traditional classical literature reading promotion activities on mental health. Forest Chemicals Review, 653–664.
  • Locaputo, A., Portelli, B., Magnani, S., Colombi, E., & Serra, G. (2024). AI for the restoration of ancient inscriptions: A computational linguistics perspective. In Decoding cultural heritage: A critical dissection and taxonomy of human creativity through digital tools (pp. 137–154). Springer Nature Switzerland.
  • Macías Borrego, M. (2023). Towards a digital assessment: Artificial intelligence–assisted error analysis in ESL. Integrated Journal for Research in Arts and Humanities, 3(4), 76–84.
  • Maiocchi, M. (2021). Current approaches towards ancient Near Eastern textual sources: Some remarks on contemporary methodologies for philological research. In dNisaba za3-mi2: Ancient Near Eastern studies in honor of Francesco Pomponio (Vol. 19, pp. 117–135).
  • Matkomilovich, M. M. (2024). Exploring translation techniques for heroic characters in literature. Journal of Multidisciplinary Bulletin, 7(5), 141–149.
  • Middleton, P. (2024). Parrots and paragrams: AI language models and erasure poetry. Modern Philology, 121(3), 352–374.
  • Mitcham, C. (2020). Philology and technology. Technology and Language, 1(1), 61–65.
  • Mullett, M. (2023). The classical tradition in the Byzantine letter. In Letters, literacy and literature in Byzantium (pp. II_75–II_93). Routledge.
  • Osler, W. (2022). The old humanities and the new science. DigiCat.
  • Palladino, C., Shamsian, F., & Yousef, T. (2022). Using parallel corpora to evaluate translations of ancient Greek literary texts: An application of text alignment for digital philology research. Journal of Computational Literary Studies, 1(1), 1–20.
  • Parshutkina, T. A., & Turko, U. I. (2024). The model of contextual education of digital literacy to students on the example of philological disciplines. Perspektivy nauki i obrazovaniya, 5(71), 125–141.
  • Perevorska, O., Prihodko, T., Kobzieva, I., Roman, N., Agadzhanova, R., Marianko, Y., & Silichova, T. (2024). Interaction of philology, pedagogy, culture and history as a way of integrating learning. International Science Group.
  • Piotrowski, M. (2022). NLP and digital humanities. In Natural language processing for historical texts (pp. 5–10). Springer International Publishing.
  • Porter, J. I. (2024). Philologies of the present for the future. In The future of the past: Why classical studies still matter (Athenian Dialogues IV, Vol. 173, pp. 213–230).
  • Rahmi, S. N., Sok, V., & Dara, S. (2024). Decoding lost languages: A philological study of ancient texts. Journal of Humanities Research Sustainability, 1(4), 1–10.
  • Rath, B. (2024). Pseudotranslation. In Translation and the classic (pp. 111–138). Routledge.
  • Roelli, P. (2020). Handbook of stemmatology: History, methodology, digital approaches. De Gruyter.
  • Sommerschield, T., Assael, Y., Pavlopoulos, J., Stefanak, V., Senior, A., Dyer, C., & de Freitas, N. (2023). Machine learning for ancient languages: A survey. Computational Linguistics, 49(3), 703–747.
  • Szczęsna, E. (2023). The humanities in the world of new technologies (and vice versa): Toward digital philology. Teksty Drugie, (2), 82–98.
  • Tasheva, N. (2024). The evolution of modern linguistics: Key concepts and trends. Medicine, Pedagogy and Technology: Theory and Practice, 2(11), 31–39.
  • Thomassen, E. (2021). Philology. In The Routledge handbook of research methods in the study of religion (pp. 401–412). Routledge.
  • Tuttle, K. (2021). Review of Among digitized manuscripts: Philology, codicology, paleography in a digital world. Manuscript Studies: A Journal of the Schoenberg Institute for Manuscript Studies, 6(1), 177–181.
  • Uug’bekovna, S. M. (2024). Philology in the digital age: The impact of technology on language preservation. In International conference on multidisciplinary studies and education (Vol. 1, No. 1, pp. 12–15).
  • Weber, T. (2020). A philological perspective on meta-scientific knowledge graphs. In International conference on theory and practice of digital libraries (pp. 226–233). Springer International Publishing.
  • Yang, J. (2024). Translation paradigms: Translation in the development of digital humanities. International Journal of Linguistics, Literature & Translation, 7(8), 1–10.
  • Zarembo, V., & Moskvina, A. (2024). Machine learning and philology: An overview of methods and applications. In Digital geography: Proceedings of the International Conference on Internet and Modern Society (IMS 2022) (p. 69). Springer Nature.
  • Zhenzhao, N. (2023). Introduction to ethical literary criticism. Routledge.
  • Zulfiya, T. (2024). The overview of the methods of textual analysis. Innovative Technologica: Methodical Research Journal, 3(4), 5.



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