Governance artifacts
Governance files brought into scope by this page
This page is anchored to published surfaces that declare identity, precedence, limits, and the corpus reading conditions. Their order below gives the recommended reading sequence.
Q-Metrics JSON
/.well-known/q-metrics.json
Descriptive metrics surface for observing gaps, snapshots, and comparisons.
- Governs
- The description of gaps, drifts, snapshots, and comparisons.
- Bounds
- Confusion between observed signal, fidelity proof, and actual steering.
Does not guarantee: An observation surface documents an effect; it does not, on its own, guarantee representation.
Q-Metrics YAML
/.well-known/q-metrics.yml
YAML projection of Q-Metrics for instrumentation and structured reading.
- Governs
- The description of gaps, drifts, snapshots, and comparisons.
- Bounds
- Confusion between observed signal, fidelity proof, and actual steering.
Does not guarantee: An observation surface documents an effect; it does not, on its own, guarantee representation.
Q-Ledger JSON
/.well-known/q-ledger.json
Machine-first journal of observations, baselines, and versioned gaps.
- Governs
- The description of gaps, drifts, snapshots, and comparisons.
- Bounds
- Confusion between observed signal, fidelity proof, and actual steering.
Does not guarantee: An observation surface documents an effect; it does not, on its own, guarantee representation.
Complementary artifacts (3)
These surfaces extend the main block. They add context, discovery, routing, or observation depending on the topic.
Q-Ledger YAML
/.well-known/q-ledger.yml
YAML projection of the Q-Ledger journal for procedural reading or tooling.
Iip Scoring Standard Manifest
/iip-scoring.standard.manifest.json
Surface that makes explicit the conditions of response, restraint, escalation, or non-response.
Iip Report Schema
/iip-report.schema.json
Observation surface that exposes logs, metrics, snapshots, or measurement protocols.
Derived instruments and non-normative surfaces
A doctrinal corpus is not meant to provide turnkey procedures. Its primary role is to define perimeters, distinctions, prohibitions on inference, and conditions of legitimate response.
As soon as an AI system becomes an interpretive or decisional intermediary, however, a practical question appears: how can those constraints be made auditable without turning doctrine into tooling, and without confusing norms, proof, execution, and validation?
Doctrine, clarifications, audit, and instruments: four distinct roles
This ecosystem distinguishes at least four roles.
- Doctrine defines the interpretive framework and its stable principles.
- Clarifications stabilize terms, boundaries, and non-equivalences.
- Audit tests whether outputs remain faithful to the canon under real conditions.
- Derived instruments make some aspects operationally legible without acquiring canonical status.
Confusing these roles leads to category errors. A derivative matrix or validator may help read a corpus, but it does not become equivalent to doctrine simply because it is useful.
Why publish instruments outside the doctrinal site
There are good reasons to publish some instruments outside the doctrinal surface itself.
First, it preserves the interpretive role of the main site. The site remains the place where meaning, authority, and boundaries are declared. Second, it avoids turning canonical pages into mixed surfaces where doctrine and tool output become indistinguishable. Third, it allows derivative artefacts to evolve on a different cadence when they serve auditability, simulation, testing, or restricted operational logic.
Non-normative, non-certifying, non-equivalent
A derived instrument is not normative unless the canon explicitly says so. It does not certify truth by itself. And it is not equivalent to the doctrinal page from which it derives.
The correct reading is therefore:
- an instrument may help observe, validate, or simulate;
- an instrument may express doctrine operationally in a bounded way;
- an instrument does not replace the canonical perimeter;
- an instrument must not silently become an authority surface.
External references
External repositories, manifests, validators, and simulation references may extend the ecosystem. They can be legitimate and useful, but they remain tied to the authority logic of the main doctrinal corpus. They are derivative surfaces, not autonomous canons.
Continuity with interpretive auditability
This distinction preserves continuity with interpretive auditability. Auditability requires surfaces that can be tested, compared, or inspected. But the ability to test a doctrine must not erase the distinction between the doctrine itself and the instruments derived from it.
That is why non-normative surfaces matter: they make audit possible without flattening the architecture of authority.
When instruments become dangerous
The greatest risk posed by derived instruments is not that they fail, but that they succeed too visibly. A well-designed scorecard or checklist can acquire informal authority within an organization or a workflow. When that happens, the instrument begins to function as a de facto norm — not because it was promoted, but because it was convenient.
This is a specific form of interpretive capture: the operational surface replaces the doctrinal surface as the reference that practitioners actually consult. The doctrine still exists, but it is no longer read. The instrument has captured its authority silently.
Preventing this requires explicit labelling. Every derived instrument must declare its own status: non-normative, non-certifying, version-bound, and dependent on a specific doctrinal page. It must also declare its scope — which aspect of governance it helps operationalize and which aspects it does not cover. Without these declarations, the instrument becomes an authority boundary violation waiting to happen.
This is also why the Q-Layer and the interpretation integrity audit protocol must remain distinct from the instruments they may generate or consume. The audit protocol defines what must be verified. A derived checklist may help execute that verification. But the checklist is not the protocol, and the protocol is not the doctrine. Each layer has its own authority, its own update cadence, and its own conditions of validity.
Instruments that respect these boundaries strengthen the ecosystem. Instruments that blur them weaken the very governance they were designed to serve. The discipline of maintaining this distinction is not bureaucratic — it is structurally necessary for any corpus that claims to govern interpretive observability over time.