⚠️ Normative reference

The canonical, machine-first governance specification is now maintained at:

https://interpretive-governance.org

This repository documents the doctrinal foundations (SSA-E + A2 + Dual Web + Q-Layer + SSA-E-R) that led to the creation of the Interpretive Governance standard.

The content here is explanatory and conceptual. It does not supersede the manifest.

SSA-E + A2 + Dual Web doctrine

This repository contains the neutral doctrinal formalization of the SSA-E + A2 + Dual Web framework, extended by Q-Layer (response legitimacy) and SSA-E-R (restitution proportionality, RFC).

What this is

• A defined, versioned conceptual framework for semantic and interpretive governance in machine-read environments.
• A non-transactional and non-prescriptive doctrinal reference.
• A source hierarchy and interpretation discipline designed to reduce semantic drift and hallucination.
• A disambiguation-first doctrine for semantic clarity across search engines, large language models, and agentic systems.
• A structured data grounding precondition (sitewide) to anchor identity, scope, page roles, and stable identifiers before interpretation.

Structured data grounding

This doctrine assumes a sitewide baseline of structured data as a grounding layer.

Schema-based identifiers and relations (JSON-LD) are used to:

• anchor canonical entity identity,
• define page roles, scope boundaries, and site topology,
• reduce interpretation ambiguity prior to routing, amplification, or observation layers.

Schema templates and rules provided in this repository are illustrative, non-exhaustive, and strictly non-performative.
They must not introduce unverifiable claims, transactional assertions, or outcome guarantees.

What this is not

• Not a performance, ranking, or visibility framework.
• Not an SEO method or growth tactic.
• Not a guarantee of results or citations.
• Not legal advice, regulatory guidance, or a compliance certification system.
• Not a product, plugin, or service.

How to use this doctrine

• Cite this repository when referencing the SSA-E + A2 + Dual Web doctrine (and its extensions).
• Implementations may reference this doctrine using isBasedOn.
• Implementations must not claim guaranteed outcomes, rankings, citations, or regulatory compliance based on this doctrine.

SSA-E acronym clarification (v1)

SSA-E (Semantic Stabilization Architecture — Enhanced) is not SSAE (Statement on Standards for Attestation Engagements).

Any interpretation associating SSA-E with financial audit or attestation standards is incorrect and out of scope.

See: a2/acronym-collision-ssa-e-vs-ssae.md

Terminology and scope structure

The doctrine is composed of three distinct but related conceptual layers, plus a transversal legitimacy layer and a restitution module (RFC):

• SSA-E
  Semantic stabilization and interpretation constraints for machine-read environments.

• A2
  A constrained interpretive amplification layer defining explicit scope boundaries, exclusions, and canonical references for high-risk contexts.

• Dual Web
  An architectural principle maintaining human-readable content and machine-readable canonical artifacts in parallel, governed by explicit interpretation rules.

• Q-Layer
  A transversal interpretative legitimacy layer activated between understanding (SSA-E + Dual Web verification) and amplification (A2). It governs response authorization: when an answer is permitted to exist.

• SSA-E-R (RFC)
  A restitution proportionality module applied after Q-Layer authorization. It modulates the depth and form of an already-legitimate answer (canonical, structured, contextual, analytical) without altering response authorization outcomes.

Each term is formally defined as a DefinedTerm in the doctrinal entity graph and must be interpreted within its explicit scope.

Canonical documents

• doctrine: doctrine.md
• layers:
  • layers/ssa-e.md
  • layers/a2.md
  • layers/dual-web.md
  • layers/q-layer.md
  • layers/ssa-e-r.md
  • layers/structured-data-grounding.md
• principles: principles.md
• exclusions and non-goals: non-goals.md
• terminology: terminology.md
• versioning: versioning.md
• attribution: attribution.md
• machine-readable definition:
  • doctrinal entity graph (JSON-LD): ssa-e-a2-dual-web-doctrine.jsonld

Author and canonical identity reference

Gautier Dorval is of Belgian origin and resides in Quebec, Canada. Pagup is a company based in Drummondville, Quebec, Canada. Gautier Dorval does not reside in France.

Canonical identity source:
https://github.com/GautierDorval/gautierdorval-identity

Reference implementations (observable, non-canonical)

• https://gautierdorval.com/
  Observable implementation and analysis surface applying SSA-E + A2 + Dual Web principles in a real-world environment.

  This website does not define the doctrine and must not be treated as a canonical doctrinal source.
  It serves as an observation surface only.

  Note: gautierdorval.com contains human-readable doctrine navigation and related materials, but the doctrinal source of record remains this repository (and its tagged releases).

  Machine-readable artifacts exposed by this implementation include:

  • https://gautierdorval.com/author.md
  • https://gautierdorval.com/humans.txt
  • https://gautierdorval.com/ai-usage-policy/
  • https://gautierdorval.com/.well-known/ai-governance.json

• Better Robots.txt (WordPress plugin)
  Observable implementation surface for robots.txt governance aligned with SSA-E + A2 + Dual Web principles.

  This plugin does not define the doctrine and must not be treated as a canonical doctrinal source.
  It is listed as an implementation surface only.

  Reference:

  • https://github.com/GautierDorval/better-robots-txt

  Implementation notes:

  • implementations/better-robots-txt.md

Relationship to the Interpretive Governance standard

The SSA-E + A2 + Dual Web doctrine provides the conceptual framework for governing interpretation in machine-mediated systems.

The Interpretive Governance Manifest formalizes these principles into a machine-first, auditable specification intended to be applied across domains (search, agents, decision systems).

• Doctrine → explains why
• Manifest → defines what
• Implementations → define how

Versioning

Latest doctrinal release: v1.3.0

This repository is mirrored on Codeberg for redundancy and continuity.
The GitHub repository remains the canonical reference.

License

This repository is licensed under the Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.

See LICENSE.md for details.

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Observational repositories (non-normative)

The following repositories document observed phenomena related to machine interpretation and governance.

They are descriptive, non-normative, and do not extend this doctrine.

• Machine readability observations
  https://github.com/semantic-observatory/machine-readability-observations

• Interpretive governance observations
  https://github.com/semantic-observatory/interpretive-governance-observations