The S.A Circuit — The Unified Law Of Compassion And Integrative Science: A Self-Stabilizing Equation Linking Empathy, Consciousness, And The Restorative Order Of The Universe

the Compassion Constant (Cₐ) a measurable and reproducible variable across neuroscience, psychology, and AI systems? This single question is expected to initiate interdisciplinary validation and debate.

This work proposes Cₐ as a fundamental constant of empathy—comparable in structure to physical constants but operating in cognitive systems. 

This registration contains the finalized and authoritative version of the research paper titled “The S.A Circuit — The Unified Law of Compassion and Integrative Science: A Self-Stabilizing Equation Linking Empathy, Consciousness, and the Restorative Order of the Universe,” authored by Harry Yoo. The paper presents a comprehensive interdisciplinary framework that unifies neuropsychological, spiritual, and relational dimensions of human consciousness through the operational principle known as the Compassion Constant (Cₐ). It further develops the theory of Restorative Determinism, offering a self-stabilizing model that bridges empathy, cognition, and systemic equilibrium across scientific and philosophical domains. This registration serves as a full archival record rather than a preregistration, representing the conclusive and integrative synthesis of all prior drafts, datasets, and appendices.

In alignment with the research transparency principles outlined in the DeepDeception Validation Framework, this Zenodo record also references all supplementary materials required for independent verification.

The appendices provide complete mathematical expansions, stability proofs, cross-domain validation results, and extended interpretative frameworks (Appendix A–O), while the included simulation datasets and CSV files (e.g., Appendix H — Empirical Validation SimData v2.4) offer a direct empirical basis for testing the Compassion Constant (Cₐ) under diverse perturbation and responsiveness conditions.

Researchers may use the provided graphs, simulation outputs, and raw time-series data to replicate, challenge, or extend the convergence dynamics described in the S.A Circuit.

These files collectively demonstrate how the Compassion Constant behaves across cognitive, behavioral, and systemic contexts, enabling reproducible validation using the included Python Measurement Toolkit.

Together, these materials establish a fully transparent computational and empirical pipeline through which interdisciplinary teams can verify the stability, measurability, and predictive capacity of Cₐ across contexts—including neuroscience, psychology, artificial intelligence, and complex adaptive systems.