Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
versions View all 4 versions
addClaim

THE STATIC STRUCTURE FALLACY — How Ψ Reclassifies Recurrence Across Scientific Disciplines

Authors: Elbasan, Serkan;

THE STATIC STRUCTURE FALLACY — How Ψ Reclassifies Recurrence Across Scientific Disciplines

Abstract

Across psychology, artificial intelligence, biology, economics, social theory, and geophysics, scientific models have historically treated structure as an invariant background and recurrence as noise, bias, or statistical residue. This assumption creates a cross-disciplinary blind spot: systems whose internal rules change under repeated activation are systematically misclassified. This paper identifies and formalizes this error as the Static Structure Fallacy and introduces the operator-level correction. By treating structure as a dynamic function of recurrence S = S(R) and defining structural sensitivity as Ψ = ∂S/∂R the paper establishes recurrence as the primary mechanism of structural modification rather than a disturbance to be filtered out. The result is a domain-independent functional account of reflexive systems, unifying drift phenomena across cognitive processes, neural systems, biological regulation, AI training dynamics, institutional change, market adaptation, and tectonic stress reorganization. Ψ provides a minimal and measurable operator for reflexivity, resolving long-standing conceptual asymmetries between structure and process across scientific disciplines. -- 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 -- Kognetik Series Information KOGNETIK — Minimal Operator Definition of Reflexivity (Ψ = ∂S/∂R) Reflexivity as structural rate-of-change:Ψ=∂S/∂R measures structural drift under recurrence. Process, not state:Reflexivity is a transformation rule, not a content or level. Domain-independent operator:Valid across biological, cognitive, artificial, social, industrial, and geophysical systems. Non-ascriptive, empirically testable:Ψ compares systems by observable structure and recurrence. Higher-order phenomena as specifications:Learning, adaptation, consciousness, governance, and identity are structured regimes of Ψ.

Keywords

Cognitive Science/instrumentation, Artificial intelligence, Cognitive Science/standards, Molecular biology, Economics, Structure as Function, Rule-Based Systems, Artificial Intelligence/standards, Cognitive Science/education, Dynamic Structure, Model Drift, Cell (biology), Neurosciences/history, Recurrence, Neurosciences/instrumentation, Cross-Disciplinary Framework, Structural Reclassification, Gene Regulatory Networks, Cognitive Science/ethics, Operator Theory, Activation Cycles, Scientific Blind Spots, Neurosciences/economics, Cognitive Neuroscience/education, Structural Sensitivity, Adaptive Systems, Neurosciences/classification, Artificial Intelligence/ethics, Machine Learning Drift, Complex Systems, Biology/instrumentation, Market Adaptation, Structural Reflexivity, Recurrence Dynamics, Structural Invariance, Dynamical Systems, FOS: Philosophy, ethics and religion, Cognitive Neuroscience/ethics, ∂S/∂R, Reflexive Methodology, Gene Regulatory Networks/ethics, Geophysics, Artificial Intelligence/classification, Social Systems, Structural biology, Biology/standards, Evolutionary Dynamics, Neurosciences/standards, Artificial Intelligence/economics, Cognitive Neuroscience, Neuroscience Nursing/ethics, Biophysics, Reproductive biology, Cognitive Neuroscience/economics, Tectonic Stress, Cognitive Science/trends, Molecular neuroscience, Metric Spaces, Artificial Intelligence/history, Non-Ascriptive Objectivity, Neuroscience Nursing, Neurosciences/education, Artificial Intelligence, Ψ Operator, Developmental biology, Structural Measurement, Reflexive Systems, Cognitive Neuroscience/classification, Artificial Intelligence/trends, Biology/ethics, Biology, Molecular Biology, Synthetic biology, Cognitive Science/classification, Institutional Evolution, FOS: Clinical medicine, Neurosciences, Cognitive neuroscience, Cell Biology, FOS: Earth and related environmental sciences, Neurosciences/ethics, Neurosciences/methods, Philosophy, Computational neuroscience, Kognetik, Cognitive Science, Metabolic Recurrence, Neurosciences/trends, Cognitive Science/methods, Volatility Structure, Structural Drift, Gene Regulatory Networks/genetics

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
0
Average
Average
Average
Green
Related to Research communities