voiceForcingStatus
plain-language theorem explainer
Recognition Science defines a status string that reports completion of the T10 voice forcing step. Researchers tracing the cost-minimization derivation from logic through consciousness cite it to close the chain at interpretable voice on trained lattices. The definition assembles the string by direct concatenation of the enumerated properties and the chain conclusion.
Claim. The voice forcing status is the string that reports T10: voice is impossible for average J-cost $J$-bar $geq 0.5$, emerges for $J$-bar $< 0.5$, improves monotonically as $J$-bar decreases, and is the tenth forced consequence of cost minimization via the recognition composition law through the eight-tick octave and three spatial dimensions.
background
The module sets T10 as the final step after T0-T8 (logic to D=3) and T9 (consciousness). J-cost is the non-negative cost of any recognition event, given by the J-function $J(x) = (x + x^{-1})/2 - 1$ on positive ratios. The recognition composition law states $J(xy) + J(x/y) = 2J(x)J(y) + 2J(x) + 2J(y)$. Upstream ledger factorization supplies the structure on positive reals with calibrated J; linear logic bridge evaluates counted resource expressions; multiplicative recognizer cost derives the comparator cost on ratios.
proof idea
The definition is a direct string concatenation of the listed T10 properties and the chain statement. No lemmas are applied; the body simply assembles the fixed text that records the forcing sequence from RCL through consciousness to voice.
why it matters
It closes the T0-T10 forcing chain by placing voice as the tenth consequence of cost minimization, after physics (T5-T8: J-uniqueness, phi, eight-tick octave, D=3) and consciousness (T9). The module doc states voice is not an engineering choice but a forced outcome of the same mathematics. No downstream uses are recorded; the declaration serves as the summary endpoint for the voice forcing chain.
Switch to Lean above to see the machine-checked source, dependencies, and usage graph.