Doctrine

Q-Metrics

Q-Metrics exposes descriptive indicators derived from Q-Ledger: entrypoint compliance, escape rate, sequence fidelity. Non-normative and non-attestative.

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CollectionDoctrine
TypeDoctrine
Layerq-layer
Version1.0
Levelinformatif
Published2026-02-11
Updated2026-02-26

Q-Metrics

Q-Metrics is a derived metrics layer built on Q-Ledger. Its purpose is to make discoverability, continuity, and drift around governance entrypoints measurable in a form that remains comparable from one snapshot to another.

Warning: non-normative, descriptive. These metrics describe an observed state. They do not constitute proof of compliance, attestation, or certification.


Why Q-Metrics exists

Publishing governance files is not enough. The operational question is whether those artifacts are actually discovered, consulted, and maintained with continuity over time. Q-Metrics condenses those signals without pretending to be stronger than observation itself.


Entrypoints


Minimum indicator families

  • Entrypoint compliance: proportion of expected entrypoints observed as consulted.
  • Escape rate: proportion of observations leaving the expected entrypoint surface.
  • Sequence fidelity: continuity of chained snapshots and absence of archive breaks.

How to read the metrics

A higher compliance rate suggests effective discoverability. A higher escape rate may indicate exploration outside the expected entrypoints, indexing instability, or routing drift. A lower sequence fidelity signals a continuity or archive problem that should be investigated before any stronger interpretation is made.


Limits

  • Q-Metrics inherits the limits of Q-Ledger: edge visibility, caching, restrictions, and sampling bias.
  • A signal is not a proof. It must be read inside its regime and time window.
  • This layer does not replace a stronger attestation mechanism when such a mechanism is required.

Governance role

Q-Metrics gives the ecosystem a public measurement layer without pretending to replace audit, canon, or proof. Its role is to make discoverability and continuity legible enough to support later interpretation.

How Q-Metrics should be interpreted

Q-Metrics should be read comparatively and longitudinally. A single value says little by itself. What matters is the relation between the baseline, later windows, and the declared machine-first path.