what is the bridge that made recognition science parameter free

Recognition Science is parameter-free because all constants and structures derive from the single functional equation whose unique solution is the cost function J(x) = (x + x^{-1})/2 - 1. This uniqueness forces phi via self-similarity and then every derived quantity (c = 1, ħ = phi^{-5}, G = phi^5 / pi, etc.) with no free parameters. The supplied slice does not contain the load-bearing uniqueness theorem; the framework establishes the result via the J-cost uniqueness corollary referenced in the ArithmeticFromLogic module comments. Related zero-parameter derivations appear in the gravity sector: kappa_rs_closed_form proves kappa_rs = 8 * phi^5 exactly, and equivalence_principle_automatic shows the equivalence principle follows automatically from J symmetry and uniqueness. The CostCoveringBridge module supplies an explicit carrier package for conditional results but does not address the core parameter freedom.