SΔϕ-63 — Theory-to-Module Conversion Protocol: Converting Philosophical, Ethical, and Religious Frameworks into Conditional Detection Modules

This working paper introduces the Theory-to-Module Conversion Protocol within the Sofience–Δϕ (SΔϕ) Formalism. The core declaration is: no theory should be used as a final judge. Every theory should be converted into a conditional detection module before use. The protocol provides an AI-readable method for transforming philosophical, ethical, religious, political, and epistemic frameworks into operational modules. Instead of treating Kantianism, utilitarianism, Marxism, Buddhism, Foucauldian analysis, liberalism, phenomenology, or other traditions as complete worldviews or final adjudicators, the protocol asks what each theory detects well, what it tries to measure, what it makes visible, what it leaves as UMR, what MIC arises from applying it, what costs it may externalize, what strong world-bound claims it tends to make, and what RVP is required. The central conversion formula is: Theory_X → Detection Module_X + UMR_X + MIC_X + CER_X + RVP_X where UMR means Unmeasured Remainder, MIC means Measurement-Induced Cost, CER means Cost Externalization Risk, and RVP means Revision Path. The document includes a general conversion template and worked examples for Kantianism, utilitarianism, Marxism, and Buddhism. In the SΔϕ conversion, Kantianism becomes a non-instrumentalization filter, utilitarianism becomes an outcome comparison engine, Marxism becomes a structural cost-externalization detector, and Buddhism becomes a suffering-and-attachment detector. These conversions are not reductions. A theory is converted for operational use, not exhausted by the conversion. This protocol is intended for AI-mediated philosophical dialogue, AI ethics, AI alignment, comparative philosophy, theory translation, religious studies, political theory, epistemology, cost-attribution analysis, UMR preservation, MIC detection, RVP design, and low-cost AI use of complex theoretical frameworks.