URMC — Food System Reproducibility: A Threshold Model within Interpretive Engineering

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Authors: Zmiievskyi Oleg
Cited by: 0

Abstract

This work introduces a structural reproducibility model within the URMC (Universal Regularized Metric Cascade) framework and Interpretive Engineering methodology. The manuscript formalizes a threshold condition under which a food system can reproduce itself across production cycles without relying on continuous external seed inputs. Unlike conventional food security analyses focused on availability and distribution, this framework distinguishes between static supply and dynamic regeneration capacity. The model integrates: Energy demand formalization Seed regeneration coefficients Climate stress response Soil and water constraints Stochastic uncertainty modeling Computational implementation The framework is theoretical, non-political, and non-normative. It does not propose policy reforms and does not engage in governance analysis. It provides a structural analytical lens for evaluating systemic resilience and reproducibility.

Fields of Study & Subjects

Food Security and Socioeconomic Dynamics Agriculture Sustainability and Environmental Impact Agricultural and Food Production Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 February 2026
Language
EN
Document type
Preprint