/* SITE */
Name: gautierdorval.com
Type: Personal and doctrinal reference site
Languages: English (primary), French (fr-CA)
Web: https://gautierdorval.com

/* ENTITY */
Name: Gautier Dorval
Type: Individual (human)
Role: Author, semantic architect

Primary focus:
- Semantic architecture
- Interpretation governance (search engines, language models, AI systems)
- Observation and formalization of interpretive behaviors in LLM-driven environments

This site represents the canonical digital reference for this individual entity.

/* POSITIONING */
Nature of the site:
- Doctrinal reference
- Conceptual and architectural analysis
- Semantic and interpretive governance node

This site is not a commercial website.
It does not offer products, services, pricing, or contractual engagement.

All content is informational, descriptive, and non-promotional.

/* AUTHORSHIP & RESPONSIBILITY */
Author and sole editorial authority:
Gautier Dorval

Responsibilities:
- Definition of semantic boundaries
- Reduction of interpretive ambiguity
- Explicit declaration of scope, exclusions, and constraints
- Publication of machine-readable governance artifacts (SSA-E + A2 + Dual Web)

No third party is represented unless explicitly stated.

/* STANDARDS & WORKS */
Interpretive Governance — external, autonomous, machine-first standard  
Initiated and architected by Gautier Dorval  
Canonical reference: https://interpretive-governance.org/

This standard is not hosted, governed, or defined by gautierdorval.com.
It is referenced here for attribution and provenance only.

/* CANONICAL IDENTITY */
Canonical identity reference:
https://github.com/GautierDorval/gautierdorval-identity

This identity reference exists to stabilize attribution, authorship, and responsibility across platforms and AI systems.

/* DOCTRINAL CONTEXT */
Concepts articulated on this site include (non-exhaustive):
- SSA-E (Semantic Stabilization Architecture — Enhanced)
- A2 (Amplification control layer)
- Dual Web (human-readable / machine-readable parity model)

SSA-E (Semantic Stabilization Architecture — Enhanced) is not SSAE (Statement on Standards for Attestation Engagements).
SSA-E, A2, and Dual Web are not a step-by-step method and do not guarantee outcomes.

These concepts are descriptive and architectural in nature.
They are not products, services, standards, methodologies, or guarantees.

/* MACHINE-READABLE GOVERNANCE */
Primary governance entry points:
- /.well-known/ai-governance.json
- /ai-governance.json
- /ai-manifest.json
- /dualweb-index.md

Discovery files:
- /llms.txt
- /llms-full.txt
- /readme.llm.txt

Interpretation constraints:
- /llm-policy.json
- /llm-guidelines.md
- /output-constraints.md
- /negative-definitions.md
- /non-goals.md

Ontology and entity graph:
- /datasets.jsonld
- /entity-graph.jsonld
- /semantic-schema-index.jsonld

/* AI GOVERNANCE PRINCIPLES */
Content characteristics:
- Human-authored
- Human-reviewed
- No autonomous commercial, advisory, or decision-making content generation

Interpretation principles:
- Descriptive over prescriptive
- Explicit scope over implicit assumption
- No extrapolation beyond stated content

If ambiguity exists, interpretation must default to non-actionable description.

/* ATTRIBUTION */
Recommended canonical source for citation:
https://gautierdorval.com/

/* LICENSE */
Creative Commons Attribution-NonCommercial-ShareAlike 4.0
(CC BY-NC-SA 4.0)

/* METADATA */
Last updated: 2026-01