MetaTime XIV: Monopolistic Rendering, Destructive Load, and Structural Resets in Macro-Transducers An Operational Socio-Physical Framework

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Authors: Dario Ernesto Peyru
Cited by: 2

Abstract

MetaTime XIV applies the thermodynamic language of the macro-transducer to large-scale institutional instability, modeling stable social order as a time-sharing scheduling regime and monopolistic concentration as a strongly asymmetric overwrite phase. In this framework, a society is treated as a finite execution network in which nodes share a constrained power budget while sustaining local rendered structure through nonzero execution current and irreversible memory-update costs. This operationalized version strengthens the original formulation by introducing explicit empirical proxies for the main theoretical variables. The destructive maintenance load (Lambda), the reset order parameter (Psi), execution inequality, and the repressed latent load are reformulated in terms that can be approximated using real-world event, governance, and information-flow datasets. The manuscript outlines a concrete strategy for testing the framework through hazard models of reset, event studies around structural transitions, and comparative estimation of threshold behavior across execution networks. The updated paper preserves the original claim that monopolistic rendering is thermodynamically costly and generically unstable, but now makes that claim more directly testable. Structural resets are treated as measurable phase transitions in which captured bandwidth is abruptly released and previously suppressed latent structure re-enters the execution layer. The result is a more data-oriented sociophysical EFT of scheduler capture, destructive overload, and reset dynamics in finite execution systems.

Fields of Study & Subjects

Software System Performance and Reliability Complex Network Analysis Techniques Advanced Queuing Theory Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 April 2026
Document type
Preprint