capture-pattern-recognition

Governance capture pattern detection analyzes governance health reports to identify capital, charisma, emergency, and ossification capture types using evidence-based signals. It generates a Capture Assessment Report with confidence scores and recommended safeguard activations.

The four governance capture types are capital, charisma, emergency, and ossification. They are diagnosed by applying established capture type signatures to governance health data, producing evidence-based confidence scores for each detected pattern.

Quarterly capture-pattern audits process the latest Governance Health Reports to identify structural capture risks. The analysis outputs a Capture Assessment Report containing evidence, confidence scores, and recommended safeguard activations.

Governance health signals can be aggregated across multiple SHUR Bali domains within ETHOS layers. The analysis cross-references these aggregated signals and publishes the resulting Capture Assessment Report to all ecosystem members.

Capture pattern analysis is triggered when governance health indicators worsen. This event-driven assessment uses historical governance data and capture type signatures to diagnose emerging capture risks and recommend safeguard activations.

Governance capture pattern recognition operates without external dependencies, relying solely on internal capture-assessment templates and Governance Health Reports. It independently analyzes governance health data to produce actionable safeguard recommendations.