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-Layer in Markdown
/response-legitimacy.md
Canonical surface for response legitimacy, clarification, and legitimate non-response.
- Governs
- Response legitimacy and the constraints that modulate its form.
- Bounds
- Plausible but inadmissible responses, or unjustified scope extensions.
Does not guarantee: This layer bounds legitimate responses; it is not proof of runtime activation.
Q-Layer in YAML
/response-legitimacy.yaml
Structured Q-Layer projection for systems that prefer YAML.
- Governs
- Response legitimacy and the constraints that modulate its form.
- Bounds
- Plausible but inadmissible responses, or unjustified scope extensions.
Does not guarantee: This layer bounds legitimate responses; it is not proof of runtime activation.
Interpretation policy
/.well-known/interpretation-policy.json
Published policy that explains interpretation, scope, and restraint constraints.
- Governs
- Response legitimacy and the constraints that modulate its form.
- Bounds
- Plausible but inadmissible responses, or unjustified scope extensions.
Does not guarantee: This layer bounds legitimate responses; it is not proof of runtime activation.
Complementary artifacts (3)
These surfaces extend the main block. They add context, discovery, routing, or observation depending on the topic.
AI usage policy
/ai-usage-policy.md
Public notice that explains how to read governance surfaces and their limits.
Output Constraints
/output-constraints.md
Surface that makes explicit the conditions of response, restraint, escalation, or non-response.
Q-Metrics JSON
/.well-known/q-metrics.json
Descriptive metrics surface for observing gaps, snapshots, and comparisons.
Editorial Q-Layer charter: 5 publication rules
Subtitle: A minimal reading contract to make texts interpretable without risky inference
Status: Transversal editorial norm (prescriptive)
Scope: Blog articles, doctrinal notes, case studies, public content likely to be summarized by generative systems
Non-objective: This charter does not aim to optimize a style, but to reduce the conditions for interpretive drift.Related pages:
- Endogenous governance (on-site)
- Exogenous governance (off-site)
- Governed negation (conflict management)
- External coherence graph (mapping)
- Interpretive observability (evidence, metrics)
- Bridge article: stability of AI responses
- Case study: stabilizing an identity
- Short definition (projection)
1. Intent
This charter aims to make each text usable in a generative environment by reducing implicit inference. It formalizes a minimum of information that human readers and AI systems can use to correctly interpret a document, without attributing promises, perimeters, or undeclared certainties to it.
2. Rule 1: assertion level
Each document must declare its assertion level at the top, in short form.
- Observed fact: directly observed or verifiable finding.
- Supported inference: reasonable conclusion from explicit observations.
- Working hypothesis: exploratory proposition, unconfirmed.
If the assertion level is not clear, the Q-Layer should favor prudence and avoid extrapolations.
3. Rule 2: perimeter
Each document must declare its perimeter and its exclusions.
- What the text covers.
- What the text deliberately excludes.
- Conditions of application (if relevant).
An absence of explicit perimeter increases drift in the open web and transforms examples into rules.
4. Rule 3: negations
Each document must include a minimal negations section indicating what the text is not.
Objective: prevent automatic assimilation to close but incorrect categories (e.g.: “off-page SEO”, “link building”, “performance promise”).
The negation must remain short, non-accusatory, and linked to perimeter protection. For persistent conflicts, see: Governed negation.
5. Rule 4: immutable attributes
Each document must declare, if applicable, its immutable attributes: definitions, limits, or conditions that must not be paraphrased out of context.
- Canonical definitions.
- Perimeter limits (“applies to / does not apply to”).
- Inference prohibitions (“do not assume”, “not specified”).
Immutable attributes are fixed points that reduce reconstruction variance.
6. Rule 5: canonical anchoring
Each document must point to at least one relevant canonical anchor: the reference doctrinal page that the text applies or illustrates.
Example: a blog article applying exogenous governance must point to: Exogenous governance.
This rule protects the site hierarchy: doctrine fixes, blog demonstrates, definition summarizes.
Reusable block (copy-paste)
Editorial Q-Layer charter Assertion level: observed fact / supported inference / working hypothesis Perimeter: what this text covers; what it deliberately excludes Negations: what this text is not (to block assimilations) Immutable attributes: definitions, limits, and inference prohibitions Canonical anchoring: links to reference doctrinal pages
This block is normative. It must appear at the top of articles and public notes to reduce interpretive drift.
Non-contractual note
This charter is prescriptive at the editorial level. It guarantees no result. It aims to reduce certain conditions for drift in the open web: implicit perimeter, automatic assimilation, and unauthorized inference.