The Vectorial Mechanics of Political Polarization: A Dual-Axis Framework for Mapping Epistemic Defensiveness and Information Architecture

Contemporary democracies confront a paradox: information abundance has accelerated ideological divergence rather than convergence toward truth. This paper reconceptualizes polarization not as one-dimensional positioning but as movement through a coordinate plane defined by two dynamically coupled axes: epistemic defensiveness (psychological openness to evidence revision) and information architecture (structural properties of the information environment). Synthesizing work by Munger on generational stratification, Nguyen on epistemic value capture, Pierson on path dependency, Sunstein on group amplification, and Norman on affordance-driven behavior channeling, we develop a topological heuristic rendering polarization as a self-reinforcing dynamical system. We argue that expanded information availability absent structural constraint drives agents toward higher epistemic defensiveness and lower-dimensional evaluative landscapes through attention scarcity interacting with engagement-maximization algorithms. The framework is diagnostic, mapping the vectorial mechanics of polarization without prescriptive claims.