Geoeconomic Monopoly and Protocol Clash: Infrastructure Resilience and Emergent Attrition Dynamics (GTI-OS v1.3 Canonical Edition)

Overview This package provides the canonical preprint, type-safe simulation schemas, runtime execution code, and structural visualization matrices for GTI-OS v1.3. The framework models geoeconomic chokepoint dynamics, infrastructure resilience, and asymmetric versus dominance-oriented strategic protocol clashes (such as the US-IRGC operational friction model). Included FilesGeoeconomic_ProtocolClash.pdfCanonical preprint manuscript detailing the theoretical framework, macro-level supply-chain chokepoints, diesel refinery attrition bands, and decentralized SMR-backed sovereign energy escape routes.Geoeconomic_ProtocolClash.texComplete LaTeX source file for the preprint manuscript.gti_os_sim.pyType-safe Python reference implementation (TypedDict schemas) and runtime simulation logic. It covers compound inaction probability calculations, structural friction dynamics, systemic resilience decay formulas, and civilizational phase-transition triggers.smr_sensitivity_results.csvParametric sensitivity analysis dataset modeling systemic resilience recovery and civilizational phase shifts across varying SMR adoption rates.Fig01_Geoeconomic_ProtocolClash.pngHigh-resolution system architecture infographic illustrating global energy friction layers, operational protocol clashes, and decentralized SMR resilience feedback loops.gti_os_protocol_clash_matrix.pngDetailed protocol clash matrix comparing US Battle OS and IRGC Battle OS across conflict axes, decisive strikes, and emergent attrition dynamics.Core Framework ComponentsCivilization Phase State: Tracks macro-level indicators and sovereignty drift levels (stable, tense, fragmented, transition).Structural Friction Dynamics: Decomposes systemic friction across physical (supply/chokepoints), institutional (policy debate latency), and cognitive (narrative polarity) vectors.Systemic Resilience Index: Evaluates recovery capacity, adaptation speed, and architectural plasticity under cumulative structural friction.Usage (Python Simulation)To run the type-safe runtime simulation verification: Bash python gti_os_sim.py CitationIf you use or reference this dataset and framework in your research, please cite it via the Zenodo DOI: Marutani, Y. (2026). Geoeconomic Monopoly and Protocol Clash: Infrastructure Resilience and Emergent Attrition Dynamics (GTI-OS v1.3 Canonical Edition). Zenodo.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-23
DOI
https://doi.org/10.5281/zenodo.21517869
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
preprint
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preprint

Geoeconomic Monopoly and Protocol Clash: Infrastructure Resilience and Emergent Attrition Dynamics (GTI-OS v1.3 Canonical Edition)

Yuji Marutani
Zenodo (CERN European Organization for Nuclear Research)
Infrastructure Resilience and Vulnerability Analysis
preprint

Geoeconomic Monopoly and Protocol Clash: Infrastructure Resilience and Emergent Attrition Dynamics (GTI-OS v1.3 Canonical Edition)

Yuji Marutani
preprint en

Abstract

Overview This package provides the canonical preprint, type-safe simulation schemas, runtime execution code, and structural visualization matrices for GTI-OS v1.3. The framework models geoeconomic chokepoint dynamics, infrastructure resilience, and asymmetric versus dominance-oriented strategic protocol clashes (such as the US-IRGC operational friction model). Included FilesGeoeconomic_ProtocolClash.pdfCanonical preprint manuscript detailing the theoretical framework, macro-level supply-chain chokepoints, diesel refinery attrition bands, and decentralized SMR-backed sovereign energy escape routes.Geoeconomic_ProtocolClash.texComplete LaTeX source file for the preprint manuscript.gti_os_sim.pyType-safe Python reference implementation (TypedDict schemas) and runtime simulation logic. It covers compound inaction probability calculations, structural friction dynamics, systemic resilience decay formulas, and civilizational phase-transition triggers.smr_sensitivity_results.csvParametric sensitivity analysis dataset modeling systemic resilience recovery and civilizational phase shifts across varying SMR adoption rates.Fig01_Geoeconomic_ProtocolClash.pngHigh-resolution system architecture infographic illustrating global energy friction layers, operational protocol clashes, and decentralized SMR resilience feedback loops.gti_os_protocol_clash_matrix.pngDetailed protocol clash matrix comparing US Battle OS and IRGC Battle OS across conflict axes, decisive strikes, and emergent attrition dynamics.Core Framework ComponentsCivilization Phase State: Tracks macro-level indicators and sovereignty drift levels (stable, tense, fragmented, transition).Structural Friction Dynamics: Decomposes systemic friction across physical (supply/chokepoints), institutional (policy debate latency), and cognitive (narrative polarity) vectors.Systemic Resilience Index: Evaluates recovery capacity, adaptation speed, and architectural plasticity under cumulative structural friction.Usage (Python Simulation)To run the type-safe runtime simulation verification: Bash python gti_os_sim.py CitationIf you use or reference this dataset and framework in your research, please cite it via the Zenodo DOI: Marutani, Y. (2026). Geoeconomic Monopoly and Protocol Clash: Infrastructure Resilience and Emergent Attrition Dynamics (GTI-OS v1.3 Canonical Edition). Zenodo.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Infrastructure Resilience and Vulnerability Analysis
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