VIEW THIS AS

Auto mode follows the Route Engine until you choose a viewpoint.

YOU ARE HERE

ROUTE CHECK

CONNECTED TO

WHAT NEXT

Use the canonical route for this room, or HELP if you are unsure.

eduKateSG.IC.Poster.StabilityInequality.v1.0

eduKate Secondary students reviewing open books for How Super Intelligence Works: the SI Failure Map.

1) Stability Inequality + Control Knobs Poster v1.0

ID: eduKateSG.IC.Poster.StabilityInequality.v1.0
Type: One-poster control law (math compressed)
Goal: A single equation operators can run + the knobs they can turn


The One Inequality (Education Stability Law)

Define:

  • Ḋ(t) = total damage / drift / shortcut rate
  • Ġ(t) = total repair / verification / transfer rate

Stability condition (must hold weekly):     G˙(t) > D˙(t)          G˙(t) > D˙(t)     ​

If violated → Phase drops (P3→P2→P1→P0).

What Is Ḋ(t) (Damage Rate)

DamageRate_Ḋ:
Components:
Overload: w1 * d_overload
StressShock: w2 * d_stress
FalseCompetence: w3 * u_A * (1 - V)
BufferDecay: w4 * (1 - B1) + w5 * (1 - B2) + w6 * (1 - B3)

Interpretation:

  • More load and stress raises damage.
  • AI use without verification raises damage fast.
  • Weak routines, weak teachers, bad routing raise damage steadily.

What Is Ġ(t) (Repair Rate)

RepairRate_Ġ:
Components:
RepairLoop: k1 * u_R
Verification: k2 * u_V
Transfer: k3 * u_X * min(D,S)
BufferSupport: k4 * (B1 + B2 + B3)

Interpretation:

  • Repair loops directly rebuild foundations.
  • Verification drains false competence.
  • Transfer only works if depth + stability exist.
  • Buffers (routine, bandwidth, routing) amplify everything.

The 5 Control Knobs (Operator Levers)

ControlKnobs:
u_R: "Repair intensity (Truncation+Stitching)"
u_L: "Load level (reduce spikes)"
u_X: "Transfer frequency (weekly new context)"
u_V: "Verification enforcement (logs + tests)"
B1: "Routine buffer (sleep/device/home stability)"

Fastest lever in emergencies:

  • reduce u_L (scope)
  • increase u_V (verification)
  • run u_R (repair corridor)

Phase Gate (P3 Requirement)

P3Gate:
requires:
D >= θD
S >= θS
T >= θT
V >= θV
plus:
weekly: "Ġ > Ḋ"

The Modern Collapse Shortcut

ShortcutCollapse:
If: u_A rises and u_V falls
Then: FalseCompetence explodes → Ḋ spikes → inequality breaks

Emergency Stop-Loss (Fence Behaviour)

EmergencyFence:
Trigger: "Ġ <= Ḋ for 2 weeks OR VerificationCompliance drops sharply"
Actions:
- "Freeze innovations (Δ = 0)"
- "Cut scope (u_L down)"
- "Mandatory verification logs (u_V up)"
- "RepairLoop only (u_R up)"
- "Keep 1 small transfer task/week (u_X minimal)"

2) Minimal Dataset Schema for Real Dashboard v1.0

ID: eduKateSG.IC.DataSchema.MinDashboard.v1.0
Type: Tables + fields (run immediately)
Goal: Smallest database that supports CFCS + Interstellar-Core metrics


A) Table: Learner

Table: Learner
PrimaryKey: learner_id
Fields:
learner_id: string
name_alias: string
dob: date
age: int
stage: enum(A1,A2,A3,A4,A5,A6,A7)
cohort_id: string
start_date: date
active: bool

B) Table: WeeklyState (Z0 core)

One row per learner per week.

Table: WeeklyState
PrimaryKey: (learner_id, week_start)
Fields:
learner_id: string
week_start: date
Depth_D: float # 0..1
Stability_S: float # 0..1
Transfer_T: float # 0..1
Verification_V: float # 0..1
Coordination_C: float # 0..1
StressSignal: enum(Low,Med,High)
TimedStabilityIndex: float # 0..1
TransferIndex: float # 0..1
VerificationLogCount: int
Phase: enum(P0,P1,P2,P3)
Notes_1sentence: string

C) Table: DriftEvent

Tracks detected drift + classification.

Table: DriftEvent
PrimaryKey: drift_id
Fields:
drift_id: string
learner_id: string
date: date
drift_type: enum(FoundationBreak,StabilityDrop,TransferFail,VerificationDrop,StressRise)
severity: enum(Low,Med,High)
error_cluster: string
classified_by: staff_id
action_triggered: enum(None,RepairLoop,StopLoss,ParentAction,OracleReview)

D) Table: Intervention (Repair / Transfer / Verification)

Table: Intervention
PrimaryKey: intervention_id
Fields:
intervention_id: string
learner_id: string
start_date: date
end_date: date
type: enum(RepairLoop,TransferProgram,VerificationProgram,StressStabilityProgram)
u_R: float
u_L: float
u_X: float
u_V: float
u_A: float
owner_staff_id: staff_id
outcome: enum(Improved,NoChange,Worse,Pending)
failure_trace: string

E) Table: FamilyBuffer (Z1 simplified)

Table: FamilyBuffer
PrimaryKey: (learner_id, week_start)
Fields:
learner_id: string
week_start: date
RoutineStability_B1: float # 0..1
SleepSignal: enum(Good,OK,Poor)
DeviceLoad: enum(Low,Med,High)
ConflictSignal: enum(Low,Med,High)

F) Table: Staff + Role (AVOO)

Table: Staff
PrimaryKey: staff_id
Fields:
staff_id: string
name_alias: string
role: enum(Operator,Oracle,Visionary,Architect)
certification_level: enum(None,Operator,Oracle,Visionary,Architect)
active: bool

G) Table: Audit (Z2/Z3 integrity)

Table: Audit
PrimaryKey: audit_id
Fields:
audit_id: string
site_id: string
date: date
audited_by: staff_id
RecordCompleteness: float
VerificationCompliance: float
TransferDensity: float
CollapseRate: float
P3Fraction: float
flags: string
actions_next: string

3) Derived Metrics (computed weekly)

Cohort Metrics

Derived_Cohort:
P3Fraction = count(Phase==P3)/count(active)
CollapseRate = count(Phase==P0)/count(active)
VerificationCompliance = avg(Verification_V)
TransferDensity = avg(Transfer_T)

Stability Check (poster inequality)

Derived_Stability:
DamageRate_Ḋ = w1*Overload + w2*Stress + w3*u_A*(1-V) + w4*(1-B1)
RepairRate_Ġ = k1*u_R + k2*u_V + k3*u_X*min(D,S) + k4*B1
Stable = (Ġ > Ḋ)

4) Minimal “Run It Tomorrow” Workflow

Workflow:
Weekly:
- fill WeeklyState for each learner (5 numbers + phase + 1 sentence)
- log DriftEvents
- assign Interventions when needed
- compute cohort metrics
- run Audit checklist monthly

Version Lock

VersionLock:
Poster: "eduKateSG.IC.Poster.StabilityInequality.v1.0"
Schema: "eduKateSG.IC.DataSchema.MinDashboard.v1.0"
Policy: "Forward-only updates; fields never renamed"

Recommended Internal Links (Spine)

Start Here For Mathematics OS Articles: 

Start Here for Lattice Infrastructure Connectors

eduKateSG Learning Systems: