Ex Ante Evaluative Judgement:Frame Opacity, Categorial Decompression, and the Non-Monotonic Gradient of Epistemic Specification .A sociocritical account of epistemic problematisation in human-AI prompting
Generative AI increasingly mediates human cognitive work by automating substantial portions of textual production, analysis, reformulation, and decision support. Much of the literature on prompt engineering, prompt literacy, and evaluative judgement has focused on how to formulate effective requests and how to inspect or revise generated outputs. Recent work has begun to establish that framing before generation is itself an important competence. This article develops a more specific question within that emerging space: what happens when the categories through which a cognitive request is framed are treated as objects of critical inquiry rather than as neutral components of a “good prompt”?The article proposes frame opacity as an epistemic asymmetry between a realised output and the unrealised alternative framings that were available before generation. It introduces ex ante evaluative judgement as the capacity to examine and justify the epistemic constitution of a request before delegation, and develops categorial decompression as an instructional operation organised around eight dimensions: role, operation, object, genre, criterion, context, addressee, and purpose. A cross-cutting category of demonstrative material is also examined because examples, templates, and exemplars can silently define what counts as an acceptable response.The framework is explicitly sociocritical. Drawing on Freirean problem-posing and praxis, Habermasian justification and communicative rationality, and critical educational theory, it treats prompting as a site in which authority, relevance, standards, and responsibility can become naturalised or contested. The article distinguishes descriptive specificity from epistemic specification and proposes a non-monotonic gradient in which greater detail is not inherently better. It concludes with nine falsifiable propositions linking framing, delegation, exemplars, metacognitive calibration, cognitive residue, and adjudication. The paper reports no original empirical study; its contribution is a conceptual synthesis designed to generate testable research.