AI-Era Reception
How Kent's postprocess and paralogic theories are being revived in the age of large language models, generative AI, and AI-assisted writing discourse.
Why Kent Matters for AI
Kent argued in the 1990s that writing is a non-systematic, context-dependent act of communicative interaction — not a process that can be codified into rules or algorithms. This anti-systemic stance directly anticipates contemporary debates about whether AI can truly “write” or merely produce statistically probable text.
As LLMs challenge assumptions about authorship, creativity, and pedagogy, scholars are returning to postprocess theory for frameworks that distinguish between pattern-matching and genuine communicative action. Kent's Davidsonian emphasis on radical interpretation and passing theories offers a philosophical lens for understanding what AI writing lacks.
Non-Systematic Writing
Kent's claim that writing cannot be reduced to a system resonates with critiques of LLMs as fundamentally pattern-matching rather than communicating.
Pedagogy Reimagined
If AI can produce competent prose, what is the role of writing instruction? Postprocess theory offers frameworks for teaching that center interpretive agency over production.
Radical Interpretation
Davidson's and Kent's emphasis on passing theories — ad hoc interpretive frameworks — highlights what makes human communication irreducible to algorithmic prediction.
Scholarship & Public Writing
Post-Process Writing Theory: An in-Draft Literature Review
Jeanne Beatrix Law
Surveys the historical development of post-process theory, its key theorists, and its evolution within writing studies. Explicitly argues that post-process principles are foundational to current conversations on writing and generative AI, citing Kent (1999) as the movement's defining text.
View Source →The Unbearable Lightness of Inventing: Postprocess in the Age of Generative AI
David Smith
Traces the evolution of rhetorical invention from Aristotle through postmodernism and postprocess, arguing that Kent's anti-systematic view of writing anticipated the AI-embedded composition landscape. Explores how generative AI reshapes invention, authorship, and the rhetorical situation through a postprocess lens.
View Source →Balancing Methodological Openness and Control in TPC-UX Pedagogy
Paul Hunter
Explores the balance between openness and methodological control in Technical and Professional Communication UX pedagogy, building on the field's postprocess heritage.
View Source →Bits on Bots: Process, Post-Process, and AI—Navigating the New(ish) Normal
Jeanne Beatrix Law
Published on Macmillan Learning's platform, argues that when AI can produce written outputs, educators should shift assessment toward documenting the thinking process. Frames this through post-process theory's claim that no generalizable writing process exists.
View Source →Post-Process but Not Post-Writing: Large Language Models and a Future for Composition Pedagogy
S.S. Graham
Argues postprocess pedagogy offers a useful framework for understanding LLM-assisted writing environments.
View Source →Postprocess Postmortem
Kristopher M. Lotier
Traces the origins, development, and afterlife of postprocess theory. Examines Kent's work from the 1970s onward, the Iowa State postprocess public (Kent, Thralls, Blyler), the Canadian post-process tradition, and the movement's seeds in subsequent scholarship. Published by WAC Clearinghouse / University Press of Colorado.
View Source →The AI reception is still emerging
As more scholars engage with postprocess theory in the context of generative AI, this section will expand. The archive is a living document.
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