Autological Governance: A Functional Model of Societal Reflexivity

This sixth paper in the KOGNETIK Research Series extends the functional law of autological recursion (Ψ = ∂S/∂R) to collective decision systems. It interprets crises such as the COVID-19 pandemic as large-scale resonance events exposing a society’s structural reflexivity (Ψ). Empirical evidence from OECD and MIT datasets reveals that most governments operated at Ψ ≈ 0 — high policy repetition (ΔR ↑) with minimal structural change (ΔS ≈ 0), leading to rising kognetic load (L = ΔE/ΔS) and declining coherence (C). The proposed Ψ-Governance Index (Ψ_G) links reflexive sensitivity, energetic efficiency, and social trust, defining Autological Governance as the capacity of a system to edit its own rule-syntax under stress. Governance becomes not control, but recursion: the ability to regulate the way it regulates itself.

Description:
Paper 006 finalises the first phase of the KOGNETIK Research Series (Papers 001–006).
Where previous papers applied the law of autological recursion to biological, neural, and artificial systems, this work extends it to societal governance.
It provides both a theoretical framework and an operational metric (Ψ_G) for measuring structural reflexivity in decision systems.
Data sources include the OECD Government Trust Report (2023), the Blavatnik School COVID-19 Response Tracker (2023), and MIT Media Lab Pandemic Discourse Entropy Dataset (2021).
The accompanying Editorial Summary offers a press-ready synopsis.

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https://orcid.org/0009-0000-8544-4847