This framework demonstrates how detection engineering influences identity within governance physics, indicating improved system effectiveness.
Detection engineering best practices (DxBP) articulate a rigorous grammar for constructing detections: field normalization, entity strengthening, blind‑spot mitigation, and temporal compensation. Governance physics articulates the substrate‑layer semantics that determine what must be detected: emotional‑layer drift, identity destabilization, privilege–intent mismatch, and representational divergence. This paper presents a structural mapping between the two disciplines. It demonstrates that detection engineering provides the syntactic discipline, while governance physics provides the semantic and physical invariants governing system behavior. The resulting unified detection stack spans representation, identity, behavior, and privilege.
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Narnaiezzsshaa Truong (2026) studied this question.
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