Clarifications
Clarifications
Common misunderstandings about Interpretive Governance, addressed with precise boundary definitions.
This section addresses common misunderstandings about Interpretive Governance. Each clarification identifies a specific confusion, explains why the distinction matters, and defines the boundary.
All entries (12)
Clarification: this site publishes governance doctrine, not a product, service offering, or commercial portfolio.
Clarification that prevents a governance or semantic-boundary signal from being overread as proof, authorization, equivalence, or guarantee.
Clarification: anti-plausibility constrains the invention of unsupported facts, not the generation of text itself.
Clarification: bounding interpretation constrains what a system may claim as supported, not what information exists or may be discussed.
Clarification that prevents a governance or semantic-boundary signal from being overread as proof, authorization, equivalence, or guarantee.
Clarification that prevents a governance or semantic-boundary signal from being overread as proof, authorization, equivalence, or guarantee.
Clarification: machine-readable governance files serve interpretive governance, not search engine optimization.
Clarification: interpretive governance defines structural constraints on machine interpretation, not techniques for eliciting specific model outputs.
Clarification that prevents a governance or semantic-boundary signal from being overread as proof, authorization, equivalence, or guarantee.
Clarification: publishing machine-readable governance constraints does not guarantee or imply automated enforcement.
Clarification: a doctrine can be non-operational (no execution tooling) while remaining fully normative (binding constraints on interpretation).
Clarification: publishing governance constraints publicly does not require disclosing how they are implemented internally.