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May 28, 20260 citationsOpen Access

The Information-Retention Limits of Active Structures: A Cross-Scale Framework for Institutional Persistence

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CCCharles Carroll

Key Points

  • The study aims to explore how complex institutional systems may experience informational collapse when energy maintenance is limited.
  • Developed a bounded systems-science architecture integrating various scientific principles.
  • Operationalized hypotheses through a framework focused on the Late Bronze Age palatial collapse using explicit variable definitions and causal-order testing.
  • Included a comprehensive statistical verification pipeline for validation of findings.
  • The framework demonstrates that under constrained conditions, information retention in institutional systems experiences threshold dynamics.
  • Results indicate significant implications for understanding historical collapses in terms of energy and information management.

Abstract

This repository contains the full manuscript, computational architecture, ingestion framework, statistical verification pipeline, and supplementary reproducibility environment associated with the PIW–CWG institutional persistence framework. The framework proposes that highly complex institutional systems may exhibit threshold-like informational collapse dynamics under constrained maintenance-energy conditions. The manuscript integrates thermodynamics, information theory, network topology, and computational archaeology into a bounded, falsifiable systems-science architecture. The project operationalizes these hypotheses against the Late Bronze Age palatial collapse through:- explicit variable definitions,- constrained relational schema design,- parser-driven ingestion controls,- causal-order testing,- inversion-based falsification logic,- and uncertainty-aware statistical validation. Included materials:- Main manuscript (LaTeX)- Bibliography database- Overleaf-compatible package- Supplemental computational architecture references- Reproducibility scaffolding Important:Synthetic datasets and integration tests contained within the framework validate computational consistency only and do not constitute empirical historical proof. Author:Charles CarrollPIW–CWG Research InitiativeORCID: 0009-0008-6411-7626 Official project references:https://www.carrollwellgradient.org/homehttps://cwgresearch.carrd.co/

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Cite This Study

Charles Carroll (2026) studied this question.

synapsesocial.com/papers/6a17de013fad632b0f9da80ehttps://doi.org/10.5281/zenodo.20388259
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