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Home / Media / Interviews / The Emerging Voices Series / Marie Pruitt

Marie Pruitt

In this interview, Marie Pruitt explains her use of big data and mixed methods approach to research, particularly as it pertains to her dissertation. She reflects on the role of AI in the peer review and publishing process and shares what it is like being a copy editor for Composition Studies. When this interview was conducted on August 18, 2025, Marie Pruitt was a dcotoral candidate at the University of Louisville.

Credits

Video Production: Zakery R. Muñoz

Closed Caption Editing: Camaryn Wheeler

Additional credits are provided at the end of the video.

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Shuvro Das

Shuvro Das

Beth Davila

Beth Davila

Genie Giaimo

Genie Giaimo

Mandy Olejnik

Mandy Olejnik

Marie Pruitt

Marie Pruitt

Kimberly Thomas

Kimberly Thomas

Annette Vee

Annette Vee

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Academic Portfolio: https://mariepruittportfolio.wordpress.com/

Selected Publications

Pruitt, M. (2026, February). Reconsidering Centrality: A Bibliometric Network Analysis of College Composition and Communication, 1950-2022. College Composition and Communication [Forthcoming].

Pruitt, M. (2025) Journals as Disciplinary Archives: A Linguistic Corpus Analysis of Technical Communication Quarterly Abstracts, 1992-2023. Technical Communication Quarterly, 34(3), 373-385. https://doi.org/10.1080/10572252.2025.2490507

Pruitt, M., Babb, J., & Beare, Z. (2026). Protecting Intellectual Labor from Generative AI: Rooting Policy in the Editorial Values of Composition Studies. In M. Fernandes, & M. McIntyre (Eds.), Unprompted: Pedagogies, Theories, and Futures of GenAI Refusal in Rhetoric and Writing Studies. The WAC Clearinghouse [Forthcoming].

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Copyright on the materials on this site is held by the authors and editors who have contributed content to it (© 1997-2026).