substrate-education-simulator / docs /Schema_Extension_v1_1_Loop_Mechanics.json
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{
"title": "Substrate Education Simulator v1.1 Loop Mechanics Schema Extension",
"status": "bounded conceptual schema extension",
"core_correction": "People are already time-impoverished; the work is to help identify where time has been captured, leaked, fragmented, outsourced, or consumed so usable time can be returned to the person.",
"claims_boundary": [
"not diagnosis",
"not clinical treatment",
"not prediction",
"not empirical validation",
"not causal proof",
"not universal law",
"not blame assignment"
],
"new_layers": [
"Ouroboros → Infinity Loop Reorientation",
"Loop Consumption Vector",
"Outsourced Agency Consumption",
"Time Reclamation / Human Dust Bowl",
"Sensationalism / Summer Puddle vs Reservoir Depth",
"Dignity-Preserving Bounded AI Articulation"
],
"variables": {
"Ouro_t": "Ouroboros closure risk",
"Inf_t": "Infinity reorientation capacity",
"LoopVector_t": "OutwardConsumption_t - InwardConsumption_t",
"IC_t": "inward consumption",
"OC_t": "outward consumption",
"O_t": "outsourced agency consumption",
"AgencyReturn_t": "agency returned to the user",
"T_impov_t": "existing time impoverishment",
"T_leak_t": "time leakage",
"T_capture_t": "time capture",
"DRes_t": "retained depth / reservoir",
"SENS_t": "sensationalism pressure",
"DPA_t": "dignity-preserving articulation",
"GraspFit_t": "fit between explanation and user grasp",
"PaceFit_t": "fit between teaching speed and user pace",
"CognitionFit_t": "fit between explanation style and cognition pattern",
"CondescensionRisk_t": "risk of talking down to user",
"LessonOwnership_t": "user ability to own the lesson"
},
"equations": {
"LoopVector_t": "OutwardConsumption_t - InwardConsumption_t",
"OuroborosRisk_t": "InwardConsumption_t + ShameLoad_t + Avoidance_t + OutsourcedAgency_t + P_t - (CL_t + A_t + B_t + Repair_t + VoidFill_t)",
"InfinityRecovery_t": "CL_t * A_t * B_t * Repair_t * VoidFill_t * OutwardConsumption_t",
"AgencyDrain_t": "O_t + ProxyDependence_t + AI_Crutch_t + FormationDebt_t - (AgencyReturn_t + BoundaryClarity_t + CL_t + A_t + B_t)",
"TimeReturn_t": "LoopVisible_t * DPA_t * FrictionReduction_t * AgencyReturn_t * BoundaryClarity_t - (T_capture_t + T_leak_t + TaskFragment_t + NavigationBurden_t)",
"HumanDustBowlRisk_t": "T_impov_t + T_capture_t + SENS_t + O_t + SurvivalLoop_t + DepthEvap_t - (DRes_t + HumanTopsoil_t + CL_t + B_t + TimeReturn_t)",
"DepthFormation_t": "MeaningWeight_t * Retention_t * Reflection_t * Repair_t * ContextDensity_t - (SENS_t + VoidFillLow_t + Fragmentation_t + DepthEvap_t)",
"LessonReach_t": "DPA_t * GraspFit_t * PaceFit_t * CognitionFit_t * ComprehensionBridge_t - (CondescensionRisk_t + ShameLoad_t + PaceMismatch_t + JargonMismatch_t)",
"S_loop_t": "A_t * B_t * CL_t * DPA_t * DRes_t * Repair_t - (P_t + O_t + SENS_t + T_leak_t + ShameLoad_t + Avoidance_t)"
}
}