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January 14, 20260 citationsOpen Access

Structural Integrity (D9) as a Scale-Invariant Organizational Principle: Empirical Evidence from 9 Domains and Implications for Systems Research

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TWThomas Wardemann

Key Points

  • The aim is to formalize and validate Structural Integrity (D9) as a key organizational principle within systems research.
  • Conducted a transdisciplinary synthesis of 23 independent studies from 1980–2025 across 9 domains.
  • Analyzed scaling patterns in plasma physics, genomic adaptation, network science, and social resilience.
  • Formulated the D9 metric based on coherence and structural redundancy.
  • Identified a consistent scale-invariant adaptation pattern across diverse systems.
  • Observed a convergent 7.8-8.3% increase in adaptive processes with normalized metrics.
  • Provided implications for AI Safety, AGI alignment, and managing complexity.

Abstract

This paper presents the formalization and empirical validation of Structural Integrity (D9), a universal attractor-based principle identified within the Fractal System Model (FSM) framework. Through a transdisciplinary pattern-mining synthesis of 23 independent studies (1980–2025) across 9 domains—including plasma physics, genomic adaptation, network science, and social resilience—this research identifies a consistent, scale-invariant adaptation pattern. When system metrics are normalized, a convergent 7.8–8.3% acceleration in adaptive processes is observed, pointing to a fundamental organizational mechanism defined by the attractor constant k=0.15. Key highlights of this version (v12): Mathematical Formalization: Definition of the D9 metric as a function of coherence and structural redundancy. Universal Scaling: Evidence of a convergent adaptation rate across disparate biological, physical, and technical systems. Operational Utility: Implications for AI Safety, AGI alignment, and the management of "unmanageable" emergence in complex environments. Open Science Contribution: Part of the Wardemann Protocol for Fourth-Order Cybernetics and Human-AI Co-creation. This study serves as the empirical backbone for the LoopGuard algorithm and the State Function S(t), providing a quantitative basis for systemic stewardship in the age of advanced artificial intelligence.

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Cite This Study

Thomas Wardemann (2026) studied this question.

synapsesocial.com/papers/6966f32713bf7a6f02c00f8fhttps://doi.org/10.5281/zenodo.18212820
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