From the Field of Experience to the Model: Epistemic Stabilization and the Localization of Uncertainty under Finite Conditions

Epistemics understands epistemic practice as model management under finite conditions (Rapp 2026a). This determination remains incomplete, however, as long as it remains unclear how fields of experience become model-capable, that is, available for model formation, in the first place. Models do not arise directly from experience; rather, they presuppose that experience has already been ordered, differentiated, and epistemically stabilized. The present paper examines this prior level of stabilization and determines models as explicitly identifiable, workable, and revisable stabilizations of epistemically ordered fields of experience. The central thesis is this: epistemic stabilization does not simply reduce uncertainty; it often first makes it localizable. As long as a field of experience remains diffuse, it also remains unclear what precisely its uncertainty consists in. Only when an epistemic system posits a provisional order, such as a heuristic, a schema, a case hypothesis, or a model, does it become apparent which relations hold, which information is missing, which assumptions are too strong, and where fault lines arise. This provisional stabilization is therefore not merely a preliminary stage of secured knowledge, but an epistemic act of testing. From this perspective, central concepts of Epistemics are made more precise. Validity designates the carrying capacity of a stabilization under finite conditions. Friction is the point at which its boundary becomes visible. Revision is the restructuring of a stabilization when this boundary becomes epistemically relevant. At the same time, the paper shows that degrees of stabilization, from heuristic through schema and model to formalization, do not form a ladder of progress. Stronger stabilization is not automatically better inquiry; what is decisive is the adequacy of the stabilization in relation to the state of information, purpose, domain of validity, costs, and revisability. The paper supplements Epistemics by systematically opening up the area before the explicit model. Model management does not begin only with completed models, but wherever an epistemic system stabilizes a field of experience in such a way that it can become visible what holds, what is missing, and what does not fit.