Published November 25, 2025 | Version 2.2

The Neo-Kardashev Scale: A Thermodynamic Framework for Regenerative Civilizations

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The Kardashev Scale (1964) measures civilizational advancement by energy consumption across planetary, stellar, and galactic scales. While revolutionary for SETI research and technological forecasting, this framework encodes an extractive paradigm that is thermodynamically incompatible with long-term survival—conflating energy throughput with progress while ignoring biosphere depletion. We propose the Neo-Kardashev Scale, which redefines civilizational advancement as negentropic enhancement capacity: the measurable ability to increase organized biological complexity rather than merely harness energy for consumption.

This framework emerges from non-equilibrium thermodynamics (Schrödinger 1944, Prigogine 1977) and the earth-space battery model (Schramski et al. 2015). We present three empirical classification types with quantifiable thresholds: Type 0-Bio (ecological deficit), Type I-Bio (planetary regeneration), and speculative extensions to Type II-Bio (solar system) and Type III-Bio (galactic consciousness). Implementation pathways utilize summer cover-cropping strategies that enhance subsequent food-crop yields, creating an economically self-reinforcing transition model. A five-dimensional Bio-Negentropic Capacity (BNC) state vector provides operational metrics enabling empirical classification.

Key Contribution: We present the first civilizational classification system grounded in thermodynamic constraints, offering a biologically coherent candidate for the primary Great Filter mechanism: failure to transition from Type 0-Bio to Type I-Bio before biosphere collapse. Implementation pathways through regenerative agriculture, with proposed validation via Project Riverina Regeneration in Australia's Murray-Darling Basin, demonstrate operational feasibility.

Keywords: Kardashev Scale, negentropy, non-equilibrium thermodynamics, biosphere regeneration, Fermi Paradox, regenerative agriculture, ecosystem state vectors, planetary boundaries

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Publication: 10.1073/pnas.1502836112 (DOI)
Publication: 978-1-316-35783-5 (ISBN)
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