{
  "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)"
  }
}