Non-Intentional Release Model (NIRM) A pressure-threshold driven cyclic release framework across scales

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Authors: Chen Ruotong
Cited by: 0

Abstract

CMEM Framework Collection Link Non-Intentional Release Model (NIRM): A Pressure-Threshold Driven Cyclic Release Framework Across Scales This work introduces the Non-Intentional Release Model (NIRM), a structural framework designed to explain cyclic accumulation–release dynamics observed across biological, social, educational, medical, civilizational, and cosmological systems. NIRM formalizes a recurring pattern in which internal pressure—whether energetic, informational, physiological, or structural—accumulates beyond the tolerance capacity of a system and is discharged through non-intentional release. These release events are not adaptive strategies, optimizations, or goal-directed behaviors, but mechanically sufficient outcomes once pressure thresholds are exceeded. The model is explicitly non-teleological: release does not occur for improvement, learning, or progress, but emerges as a consequence of constrained regulation under sustained accumulation. Post-release phases typically involve dispersion, partial reset, or reconfiguration, followed by renewed accumulation. This paper demonstrates the applicability of NIRM through structured case analyses in education systems, healthcare systems, and civilizational development, highlighting how intervention-based optimization and continuous external stimulation often exacerbate accumulation and shorten release cycles rather than stabilizing systems. The work further clarifies why many contemporary models fail to detect release dynamics, due to their reliance on equilibrium assumptions, optimization bias, and intervention-centered perspectives. A dedicated section addresses common misinterpretations, emphasizing that NIRM is not metaphorical, predictive in a narrow sense, nor normative. Finally, the relationship between NIRM and the CMEM framework is outlined, positioning NIRM as a lower-level structural diagnostic operating beneath semantic decoding layers. Rather than proposing control strategies or policy prescriptions, NIRM identifies a persistent blind spot in system analysis: the inevitability of non-intentional release under sustained pressure accumulation. The model aims to improve diagnostic clarity across disciplines by reintroducing release dynamics as a fundamental, scale-invariant structural phenomenon.

Fields of Study & Subjects

Healthcare Operations and Scheduling Optimization Vibrio bacteria research studies Viral Infections and Outbreaks Research

Publication details

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