Supplementary material from "Quantum Cognition and the Contextual Dynamics of Moral Judgment"

Moral judgments are often treated as stable preferences perturbed by noise. Quantum cognition, however, models decision-making as probabilistic superpositions that collapse under contextual measurement. We reanalyzed responses from 583 Brazilians evaluating the Age of Penal Majority (APM) across three framings—online juridical, in-court legal, and public-square civic. Participant moral states were represented in a three-dimensional Hilbert space via principal component analysis, with context-specific measurement bases yielding model-implied context-switch reversal probabilities of 0.50--0.76 at the population level. These closely matched Bayesian hierarchical estimates, as well as the quantum representation, achieved slightly better WAIC and LOO scores than a propensity-weighted logistic baseline. Propensity-weighted bootstrap and hierarchical Bayesian analyses addressed sample imbalance and yielded convergent reversal estimates. The results extend quantum-inspired modeling to a real, socially consequential dilemma and show that legal and policy decision-support frameworks must account for context-driven shifts in public moral judgment rather than assume fixed preferences.