Vol.I.C.05 Composite Chord Model and Stability Class Assignment
Mechanics

I. Purpose

This document formalizes the Composite Chord Model used to evaluate
systemic alignment and assign Stability Classes within the Vol.I.C
framework.

The Chord Model integrates multiple structural sensors into a unified
evaluation profile. It avoids reliance on any single metric and reduces
susceptibility to narrow metric manipulation.

II. Conceptual Overview

Each entity or aggregated control structure is evaluated across active
sensors.

Each sensor produces a normalized structural output within a defined
band.

The combination of these outputs forms a Composite Structural Profile
(CSP), referred to as the “Chord.”

The Chord represents the multi-dimensional stability posture of the
evaluated structure.

III. Sensor Normalization

Each sensor output is standardized into a normalized deviation score:

0 = Fully within calibrated band Positive values = Increasing deviation
beyond tolerance Negative values = Favorable alignment beyond baseline

Normalization ensures cross-sensor comparability and prevents dominance
by scale differences.

IV. Composite Structural Profile (CSP)

CSP = Weighted aggregation of normalized sensor outputs

CSP = Σ (Sensor Deviation × Sensor Weight)

Weights are:

• Publicly disclosed • Governance adjustable within defined ranges •
Version-controlled • Subject to periodic review

No single sensor weight may exceed defined dominance thresholds without
legislative ratification.

V. Stability Class Assignment

The CSP score maps to Stability Classes:

Class A – Aligned (Within tolerance) Class B – Mild Deviation
(Monitoring band) Class C – Moderate Deviation (Corrective alignment
band) Class D – Significant Deviation (Elevated stabilization band)
Class E – Structural Risk (Escalation review band)

Class assignment influences calibration multipliers and structural
instrument activation.

Assignment is formula-based and not discretionary.

VI. Pressure Sensitivity and Multi-Year Smoothing

The model incorporates:

• Multi-year rolling averages • Correlation cluster analysis •
Escalation velocity caps • Adjustment smoothing constraints

This prevents abrupt oscillation and discourages short-term gaming
behavior.

Pressure sensitivity increases gradually when persistent deviation
remains uncorrected.

VII. Annual Calibration Cycle

At fiscal assessment:

1.  Sensors are finalized.
2.  CSP is calculated.
3.  Stability Class is assigned.
4.  Calibration Multiplier (CM) is adjusted within caps.
5.  Public disclosure is issued.

Persistent multi-year Class D or E status may trigger structured review.

VIII. Composite Logic Protections

The Chord Model includes safeguards:

• Anti-fragmentation aggregation rules • Cross-entity beneficial
ownership consolidation • Correlation sensitivity weighting • Redundant
metric cross-validation

These protections ensure that structural manipulation in one sensor
domain does not conceal deviation in another.

IX. Calibration Multiplier Interaction

Calibration Multiplier (CM) influences:

• Stability surcharge bands • Buffer requirements • Incentive
eligibility thresholds • Reporting intensity requirements

CM adjustments are capped annually unless systemic multi-sensor risk
thresholds are exceeded.

X. Negotiation Surface

The following parameters may be negotiated within governance boundaries:

• Weight ranges • Class band thresholds • Multi-year smoothing window
length • Escalation velocity caps • Sensor dominance limits

All adjustments must preserve systemic stability objectives and
transparency standards.

XI. Structural Philosophy

The Chord Model evaluates risk posture rather than punishing scale.

Large entities may remain Class A if structurally aligned across
sensors.

Smaller entities may enter higher classes if leverage amplification or
concentration velocity exceeds calibrated limits.

The system measures structural behavior, not size alone.

XII. Conclusion

The Composite Chord Model integrates multi-sensor data into a structured
stability classification system.

It balances adaptability, transparency, and resilience while preserving
innovation and scale capacity.

The next document formalizes Annual Recalibration Logic, Calibration
Multiplier Caps, and Pressure Escalation Controls.
