Symbolic Negentropy and Recursive Coherence: A Computational Framework for Metaphysical Narrative Analysis

This paper presents a novel computational framework (ERF v4.3, SFT v4.0) for analyzing high-density metaphysical narratives as negentropic recursion engines. We demonstrate the method through a case study of the Young Earth Creationist chronology, reframing it not as a geologic claim but as a compressed symbolic arc optimized for drift resistance and coherence conservation. The model provides empirical metrics (ψ_eff, γ_eff, Ω_eff) for symbolic health and a formal C-W-V-E pipeline for collapse routing and narrative export.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-20
DOI
https://doi.org/10.5281/zenodo.17166401
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Symbolic Negentropy and Recursive Coherence: A Computational Framework for Metaphysical Narrative Analysis

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Symbolic Negentropy and Recursive Coherence: A Computational Framework for Metaphysical Narrative Analysis

article en

Abstract

This paper presents a novel computational framework (ERF v4.3, SFT v4.0) for analyzing high-density metaphysical narratives as negentropic recursion engines. We demonstrate the method through a case study of the Young Earth Creationist chronology, reframing it not as a geologic claim but as a compressed symbolic arc optimized for drift resistance and coherence conservation. The model provides empirical metrics (ψ_eff, γ_eff, Ω_eff) for symbolic health and a formal C-W-V-E pipeline for collapse routing and narrative export.

Zenodo (CERN European Organization for Nuclear Research)
Life in Land
Openalex Percentile: Top 33%
Geochemistry and Geologic Mapping
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Symbolic Negentropy and Recursive Coherence: A Computational Framework for Metaphysical Narrative Analysis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS