Epigenetic Sustainability: Modeling the Human Factor as a Natural Resource through Science 4.0 and the NR3C1 Biological Pilot

Traditional industrial and organizational paradigms treat human capital as an elastic, indefinitely renewable asset. However, under chronic operational strain, biological systems undergo progressive, non-linear degradation governed by thermodynamic and epigenetic constraints. Within the Science 4.0 framework, this paper formulates the “Human Factor” as an exhaustible, dissipative natural resource operating far from thermodynamic equilibrium. We introduce a conceptual non-equilibrium thermodynamic model that relates chronic socio-technical load to increased biological dissipative demand and internal entropy production (σ_ent), challenging the organism’s buffering capacity. To explore this framework at the molecular interface, we deploy the Nuclear Receptor Subfamily 3 Group C Member 1 ( _NR3C1_ ) gene as an illustrative biological pilot. We model how sustained operational strain relates to cumulative allostatic load and context-dependent epigenetic remodeling at the _NR3C1_ promoter (exon 1F), which in some experimental and clinical contexts has been associated with attenuated glucocorticoid receptor expression, represented within the model as a reduction in the normalized Bioenergetic Signal-to-Noise Ratio (SNR*_bio). Using a Shannon-inspired informational capacity formulation, we analyze the conditions under which homeostatic feedback loops lose fidelity. Modeling the human factor through thermodynamic and kinetic resource-depletion curves provides a hypothesis-generating foundation for sustainable ergonomics, regenerative governance, and the preservation of biological integrity in high-demand socio-technical architectures.

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Publication Details

Journal
Global Journal of Human Social Science
Published
2026-11-02
DOI
https://doi.org/10.34257/gjsfri278061
Primary Topic
Ergonomics and Human Factors
Type
article
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article

Epigenetic Sustainability: Modeling the Human Factor as a Natural Resource through Science 4.0 and the NR3C1 Biological Pilot

Julien Boblique
2 links
Global Journal of Human Social Science
Ergonomics and Human Factors
article

Epigenetic Sustainability: Modeling the Human Factor as a Natural Resource through Science 4.0 and the NR3C1 Biological Pilot

Julien Boblique
article en

Abstract

Traditional industrial and organizational paradigms treat human capital as an elastic, indefinitely renewable asset. However, under chronic operational strain, biological systems undergo progressive, non-linear degradation governed by thermodynamic and epigenetic constraints. Within the Science 4.0 framework, this paper formulates the “Human Factor” as an exhaustible, dissipative natural resource operating far from thermodynamic equilibrium. We introduce a conceptual non-equilibrium thermodynamic model that relates chronic socio-technical load to increased biological dissipative demand and internal entropy production (σ_ent), challenging the organism’s buffering capacity. To explore this framework at the molecular interface, we deploy the Nuclear Receptor Subfamily 3 Group C Member 1 ( _NR3C1_ ) gene as an illustrative biological pilot. We model how sustained operational strain relates to cumulative allostatic load and context-dependent epigenetic remodeling at the _NR3C1_ promoter (exon 1F), which in some experimental and clinical contexts has been associated with attenuated glucocorticoid receptor expression, represented within the model as a reduction in the normalized Bioenergetic Signal-to-Noise Ratio (SNR*_bio). Using a Shannon-inspired informational capacity formulation, we analyze the conditions under which homeostatic feedback loops lose fidelity. Modeling the human factor through thermodynamic and kinetic resource-depletion curves provides a hypothesis-generating foundation for sustainable ergonomics, regenerative governance, and the preservation of biological integrity in high-demand socio-technical architectures.

Global Journal of Human Social Science
Openalex Percentile: Top 26%
Ergonomics and Human Factors
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