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AI systems are currently being deployed at scale without any measurable representation of human cognitive state. We are deploying systems we cannot govern. AI governance is not failing because of weak regulation, insufficient policy, or unresolved ethics. It is failing because it attempts to govern what it cannot measure. This is not a gap.It is a structural failure. As AI systems increasingly shape perception, cognition, and collective behavior, governance without a measurable representation of human cognitive state becomes impossible. The problem is not alignment.The problem is measurement. This document is the canonical entry point to the Consciousness Civilization Framework (CCF). All structural authority is defined through DOI-registered canonical documents. For complete system navigation:https://github.com/salpida-foundation/salpida-canonical This paper introduces a shift: A shift from governing behavior to governing state. AI governance does not require full consciousness measurement. It requires the detection of consciousness-like signals. We propose the Consciousness Civilization Framework (CCF), a measurable architecture that models conscious-state dynamics through the Conscious Field Energy (CFE) structure (OE–EE–RE), and derives operational indices (VCE, CRI, CFI). To bridge theory and empirical validation, we introduce the Consciousness–Aptamer Interface System (CAIS) and the Sal-Meter as experimental pathways for signal detection. This work does not claim that consciousness is solved. It claims that governance without measurable state representation is structurally incomplete. The implication is immediate: If consciousness-like signals can be measured,AI governance becomes possible. If they cannot,AI governance remains fundamentally undefined. This document is not a conclusion. It is an entry point. The measurement pathway exists.The documentation exists.The validation process is open. The question is no longer whether AI can be governed. It is whether we are willing to measure what we are trying to govern. The infrastructure is open.The validation is ongoing.Participation is possible. This is not a theoretical proposal.It is a live system in formation. You are not reading a paper.You are being invited.