{
  "schemaVersion": "0.2.0",
  "type": "SemanticProximitySeparation",
  "site": "https://gautierdorval.com/",
  "status": "proposed-separation-layer",
  "last_reviewed": "2026-08-08",
  "purpose": "Declare that semantic proximity is a neighborhood signal and must remain distinct from causal relevance, response legitimacy, proof, service bridge and outcome claims. This artifact is a separation boundary, not a pairwise proximity map.",
  "non_implication_rule": "Semantic proximity does not imply equivalence, causality, service fit, response authorization, proof, ranking, citation, recommendation or outcome guarantee.",
  "canonical_surfaces": {
    "definition_fr": "https://gautierdorval.com/definitions/proximite-semantique/",
    "definition_en": "https://gautierdorval.com/en/definitions/semantic-proximity/",
    "false_neighbor_fr": "https://gautierdorval.com/definitions/faux-voisin-interpretatif/",
    "false_neighbor_en": "https://gautierdorval.com/en/definitions/interpretive-false-neighbor/",
    "clarification_fr": "https://gautierdorval.com/clarifications/proximite-semantique-vs-pertinence-causale/",
    "clarification_en": "https://gautierdorval.com/en/clarifications/semantic-proximity-vs-causal-relevance/",
    "protocol_fr": "https://gautierdorval.com/frameworks/protocole-mesure-proximite-causalite/",
    "protocol_en": "https://gautierdorval.com/en/frameworks/semantic-proximity-causality-measurement-protocol/"
  },
  "separation_axes": [
    {
      "id": "semantic_proximity",
      "question": "Do the elements resemble one another in meaning-space?",
      "authorized_inference": "comparison_or_alert_only"
    },
    {
      "id": "causal_relevance",
      "question": "Does one element explain why another becomes necessary?",
      "authorized_inference": "only_if_declared_by_ccl"
    },
    {
      "id": "false_neighbor_risk",
      "question": "Does this proximity hide a non-equivalence?",
      "authorized_inference": "distinguish_before_comparing"
    },
    {
      "id": "response_legitimacy",
      "question": "Is a response authorized by source hierarchy and Q-Layer constraints?",
      "authorized_inference": "only_if_q_layer_conditions_are_met"
    },
    {
      "id": "proof_support",
      "question": "Is the claim supported by a canonical or evidentiary surface?",
      "authorized_inference": "claim_only_with_support"
    },
    {
      "id": "authority_weighting",
      "separate_from": "semantic_similarity",
      "rule": "Semantic proximity does not determine authority weight. Authority weight depends on claim class, source role and authority scope."
    }
  ],
  "required_behavior": [
    "Declare proximity without inferring equivalence.",
    "Check CCL before converting proximity into causal relevance.",
    "Check false-neighbor declarations before merging adjacent concepts.",
    "Check Q-Layer before producing an answer.",
    "Check proof surfaces before upgrading an association into a claim."
  ],
  "artifactRole": "separation-boundary-not-map",
  "contains_pairwise_proximity_map": false,
  "pairwise_map_status": "not_published",
  "reserved_successor_artifact": "A future pairwise proximity map may be introduced only when pairwise proximity data, metrics and evidence exist.",
  "branding_reputation_separations": [
    {
      "a": "AI brand perception",
      "b": "human brand perception",
      "required_behavior": "Treat generated output as observation; require external research for population perception."
    },
    {
      "a": "official brand position",
      "b": "external reputation",
      "required_behavior": "Apply claim-class authority and preserve qualified external evidence."
    },
    {
      "a": "sentiment",
      "b": "fidelity",
      "required_behavior": "Measure tone separately from identity, scope, category, evidence and relation preservation."
    },
    {
      "a": "monitoring",
      "b": "governance",
      "required_behavior": "Do not infer decision rights, correction or compliance from observation."
    },
    {
      "a": "visibility or share of voice",
      "b": "representation quality",
      "required_behavior": "Report exposure separately from representation fidelity and materiality."
    }
  ]
}