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Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Autological Governance: A Functional Model of Societal Reflexivity

Authors: Elbasan, Serkan;

Autological Governance: A Functional Model of Societal Reflexivity

Abstract

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. Intellectual Property & ContactKOGNETIK® is a registered trademark of Serkan Elbasan (Germany).The KOGNETIK Research Series is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0). All scientific works within the series are open for citation and derivative research under proper attribution.For partnerships, translations, or applied development inquiries:✉️ research@kognetik.de · 🌐 https://www.kognetik.de https://orcid.org/0009-0000-8544-4847

Keywords

Consciousness/ethics, Consciousness, Systems Theory, structural reflexivit, Pandemics/classification, Pandemic Preparedness/standards, recursion, cognitive systems, Pandemics, complexity science, Ethics, Pandemics/ethics, Governance, Clinical Governance/ethics, Pandemic Preparedness/methods, Pandemic Preparedness/trends, Pandemic Preparedness, self-modification, COVID-19, Clinical Governance/standards, FOS: Philosophy, ethics and religion, Philosophy, Pandemic risks, Pandemic Preparedness/economics, Systems theory, Kognetik, Clinical Governance/trends, Clinical Governance/economics, Pandemics/prevention & control

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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