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N'Ko Inscription System - Phase 2 Implementation Report

Phase 2 transforms cc-inscription from a foundational type system into a **living discipline** with: - Rigorous basin lifecycle management (split/merge with cryptographic provenance) - Graph Kernel governance for ontology operations - RAG++ as laboratory assistant for predictability evaluation - Lexicon version chain traversal and reinterpretation layer - Information-theoretic phrase emergence

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Phase 2 transforms cc-inscription from a foundational type system into a **living discipline** with: - Rigorous basin lifecycle management (split/merge with cryptographic provenance) - Graph Kernel governance for ontology operations - RAG++ as laboratory assistant for predictability evaluation - Lexicon version chain traversal and reinterpretation layer - Information-theoretic phrase emergence - **Slice Governance**: Every ontology change requires a slice declaration proving the operation is justified by evidence within the current temporal window - **Predictability Assessment**: Before/after metrics ensure changes improve the system's predictive consistency - **Builder Pattern**: `OntologyOperationBuilder` validates all required fields before construction - `request_ontology_slice()`: Request a slice for ontology operations - `verify_slice_declaration()`: Verify a slice declaration is valid - `check_evidence_sufficiency()`: Ensure evidence meets minimum requirements RAG++ serves as a **bounded critic**, measuring predictability deltas without generating ontology changes. - `evaluate_predictability()`: Measure before/after predictability for proposed changes - `find_comparable_cases()`: Retrieve similar historical cases within slice - `compute_prediction_error()`: Information-theoretic error measurement - `kl_divergence()`: Symmetric KL divergence between claim distributions

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