The Spherical Causality Method (SCM): A Cartographic Mapping Procedure for Cross-Domain Structural Orientation

The Spherical Causality Method (SCM) A Cartographic Mapping Procedure for Cross-Domain Structural Orientation The Spherical Causality Method (SCM) is a cartographic mapping procedure for analyzing structural relationships across heterogeneous systems—biological, cognitive, social, technological, or organizational—without requiring shared ontology or domain-specific explanatory frameworks. SCM does not provide answers. It provides a method for arriving at better-posed questions. Rather than offering causal explanations or predictions, SCM maps how systems respond to disturbance, where structural resistance emerges, and which configurations enable or constrain adaptation. For mapping purposes, systems are treated as locally operationally closed configurations subject to perturbation. This makes visible depth structures, coupling relationships, and response patterns that shape observable behavior without collapsing domain-specific theory. Core Concepts Spheres: Analytically delineated domains characterized by relatively stable configurations Depth: The degree to which a configuration resists reorganization under sustained perturbation Entrenched Response Channels (ERCs): Path-dependent pathways formed through repeated perturbations that constitute a system’s learned structural responses Couplings: Structured dependencies through which disturbance propagates between spheres Observer-relative temporal sampling: Recognition that perceived differences in vitality, agency, or chaos often reflect mismatches between observation rate and internal reorganization dynamics rather than categorical distinctions Methodological Constraints SCM operates under the Principle of Minimal Sufficient Representation: no structural element may be introduced unless its removal would alter downstream questions or observable response patterns. The framework is explicitly provisional, versioned, and designed to be revised or abandoned once it ceases to generate new structural insight. Version 0.2 Updates Version 0.2 formalizes the Prototypical Engineering Loop as an iterative mapping and revision process, introduces Entrenched Response Channels (ERCs) to capture path dependence, clarifies resistance as a structural signal rather than noise, and establishes constraints for valid cross-domain comparison. Intended Use SCM is designed as a problem-structuring tool to be applied prior to explanatory commitment. It supports cross-domain dialogue, reveals structural misalignments, and enables comparison across systems that differ in scale, temporality, and representation—while preserving the autonomy of domain-specific theory and measurement. This work was developed through independent conceptual reasoning with AI-assisted refinement. All methodological distinctions, structural principles, and theoretical positions remain the responsibility of the author.