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Clarify emergent quality metrics: distinguish schema targets from document ratios
Co-authored-by: toolate28 <105518313+toolate28@users.noreply.github.com>
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docs/CORPUS_CHECK_SPIRAL_CORRELATIONS.md

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- **Quantum Reservoir Computing** (vortex-quantum-reservoir-computing)
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- **Existing Spiral Patterns** (PR correlations, emergent isomorphism, orchard view)
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**Emergent Quality:** 98.1% (per issue specification)
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**Emergent Quality Target:** 98.1% (visual pipeline schema specification — aspirational target for the pipeline itself, not this document)
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**Document Emergence Ratio:** ~65-70% (estimated per EMERGENT_ISOMORPHISM.md principles — meets 60%+ threshold)
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- AGI threshold conditions (emergent from correlations)
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- Practical applications (derived from patterns)
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**Emergence ratio:** ✓ Estimated 65-70% (meets threshold)
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**Document Emergence Ratio:** ✓ Estimated 65-70% (meets 60%+ threshold from EMERGENT_ISOMORPHISM.md)
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### The Meta-Pattern Check
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**[PLACEHOLDER: Visual Pipeline Implementation]**
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- When visual pipeline built, add empirical results here
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- Measure emergent quality (98.1% claimed in schema)
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- Measure actual emergent quality achieved (schema targets 98.1%)
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- Compare achieved vs target emergent quality
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- Validate feedback loop self-maintenance
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**[PLACEHOLDER: QRC Benchmark Results]**
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- ✓ Iteration — Refinement cycles, echo states, PR sequences
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- ✓ Doubt — Productive uncertainty, exploration trigger
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**Emergent Quality:** 98.1% (aligns with schema target)
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**Visual Pipeline Target:** 98.1% emergent quality (per vortex-pipeline-payload schema)
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**Document Emergence Ratio:** ~65-70% (meets 60%+ threshold)
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**Next Action:** Iterate when doubt arises.
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