Glossary: canon, authority, non-response

Type: Lexicographic index

Associated canonical definitions: Interpretive governance, Authority boundary, Legitimate non-response

Conceptual version: 1.0

Stabilization date: 2026-02-20

This family groups the notions that bound the legitimacy of a response produced by an AI system.
It addresses a central question: what can a model infer from partial signals, and under what conditions does non-response become the correct output?

Each entry links to:
a canonical definition (if it exists), a framework (if applicable), and related pages for deeper understanding.


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Terms in the “canon, authority, non-response” family

Authority boundary

Explicit limit between what a source declares and what a model deduces. A clear boundary prevents normative extrapolations and makes the response enforceable.

Interpretability perimeter

The exact zone where a source authorizes inference, and where it does not. The perimeter reduces misinterpretations produced by over-interpretation.

Canonical silence

Status where the absence of response is not a gap, but the normal effect of a canon that does not authorize inference or that imposes reservation.

Legitimate non-response

Non-response produced because no response can be formulated without violating a legitimacy limit (absence of evidence, unresolved ambiguity, authority conflict).

Authority conflict

Collision between two sources or truth frameworks that claim the same semantic zone. Without arbitration, the model “averages” or invents a compromise.

Governed negation

Controlled mechanism for negating, refuting, or correcting a proposition without triggering a compensatory hallucination. Governed negation protects correction.

Response conditions

Explicit constraints that determine when a response is authorized (and under which evidence, limits, and formats). They transform a “plausible response” into an enforceable response.


Related frameworks and pages (recommended)

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