Hypergendered Logic Source
Hypergendered Logic — Page 246
HI-SIH-3: Diagnostic opacity can increase because current outward morphology may reveal only a tiny projection of a much richer SIH/Gamma state. HI-SIH-4: Higher categories plausibly support more complex cross-scale compatibility grammars, but exact trait count or exact visible complexity is not forced. HI-SIH-5: Major-stage transitions above this architecture plausibly reorganize rules for generating dimensions/categories themselves. 343. Causal deduction templates A causal deduction requires a stipulated causal bridge whose antecedent is actually proved. Examples: if HF2 AND Mature ->_causal TraitP is a canonical law, then a mature HF2 bearer has TraitP by CD. If UF1 AND InjuryContext ->_causal RepairModeR, then UF1 plus the injury context deductively yields R. If SIH_dim(HF-domain) AND Gamma_UF1 ->_causal MacroConfigurationM, then M follows only when every antecedent in that law is satisfied. DUQB and CSQB are quality bridges and therefore yield whole-quality conclusions, not exact anatomical traits. They cannot be reused as hidden phenotype laws. 344. Causal inferences and illustrative phenotype possibilities CI-SIH-1: Whole-axis superinheritance may enable physical functions that depend on coordination across many lower-stage source profiles. CI-SIH-2: Higher dimensional strata may create new tissue-level conflict-resolution or redundancy mechanisms. CI-SIH-3: A category lift may reorganize how macroanatomy depends on microanatomy and physiology. CI-SIH-4: A visually subtle higher-dimensional state may nevertheless have radically different repair, maturation, or stress responses. CI-SIH-5: A visually dramatic change may occur at one dimensional/category transition, but monotone visual extremity is not required. CI-SIH-6: A high-dimensional Gamma may make a formerly impossible phenotype combination possible, or may forbid a formerly possible combination. CI-SIH-7: Major Stage 2 may alter the dimensional constructor itself, producing phenotype families with no Major Stage 1 analogue. 345. AI syntax and type system An HGL parser must add the following first-class types: AxisId, AxisDescriptor, DimensionalOrder, CoordinateVector, DimDomainDescriptor, SIHSourceDomain, CategoryLift, DimLift, HyperdimensionalState. SIH must accept a typed domain descriptor rather than an arbitrary untyped scalar state once more than one possible axis exists. Coordinate rule: HF_n coordinate vector length = n+1 for finite n; canonical seed = [1,Omega^n]; canonical active-axis position = [alpha,Omega^n]. Parser rejection: HF2 == HF[2,Omega]. Parser rejection: SIH(NOT X) == NOT SIH(X). Parser rejection: SF^Omega == HF1. Parser rejection: category order SF,HF,AF,UF. 346. Compiler representation The executable representation must not enumerate a Hyperomega domain. AxisDescriptor stores category/side, dimensional order, active-axis bounds, and saturated lower-coordinate schema. DimDomainDescriptor stores the dimensional-order bound plus an AxisDescriptor generator. SIHClosure(target,domain,polarity) stores one symbolic closure edge whose membership obligations are generated lazily for queried coordinates.
Source Canon: Verbatim mathematical and modal logic. Interactive navigation and operator lookups available at /#hgl-part:246.