Natural language can express nuance, ambiguity, implication, rhetoric, and context that executable systems cannot safely treat as determinate instruction. This paper develops Governed Controlled Natural Language (GCNL) as a human-authorable representation layer that constrains grammar, resolves or exposes references, separates epistemic posture from normative force, records asserted authority and provenance, closes scope, preserves residual ambiguity, and produces a canonical semantic candidate for downstream evaluation. GCNL does not make a statement true, legitimate, authorized, or executable. Governance metadata is a claim about authority, not authority itself. A GCNL compiler may parse, resolve, type, canonicalize, and refuse malformed input; a separately identified law and admission boundary determines whether the resulting candidate may acquire standing or be lowered into GSOL, GOML, MCIR, GCML, PEIR, or another realization profile. This separation keeps a language tool from becoming an undeclared sovereign. The paper retains the source's crystallization gradient and cooling metaphor while treating them as architectural metaphors rather than thermodynamic measurements. It adds a typed statement model, partial compilation semantics, loss and residual records, preservation invariants, a worked example, configuration selection through CM1/CM2/Instance Configuration, adversarial tests, and explicit authorial-compression criteria. The result is a proposal for governable semantic drafting, not a completed language implementation or a proof that controlled prose eliminates interpretation.
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Adam Ableman (2026) studied this question.
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