The Inferred Score: Bayesian Posterior Inference Over Void Dimensions from Behavioral Observables

Introduces a Bayesian inference framework for recovering void dimension scores (O, R, α) from platform behavioral observables — click traces, content diversity, session-length distributions — without requiring human rater panels. The Eckert Manifold provides the energy landscape; Gibbs sampling navigates it. The result is a continuous posterior over (O, R, α) that makes the void framework operational as an automated monitoring product and provides the theoretical basis for the EU Scorer API.