Data as Transcendental Stabilizations: Symbolic Mediation and the Pre-Semantic Conditions of Data
This paper argues that data are not ontological primitives or mere technical artifacts but emerge through historically variable symbolic stabilizations that transform differential configurations into operationally available differences, thereby reframing issues like algorithmic bias as disputes over competing regimes of intelligibility rather than simple technical management problems.