CIRS Series – Vol.II.C.02 Food System Structural Architecture
Continuation File:
Vol-II.C.02_Threshold_Calibration_and_Weighting_Methodology.txt Date:
2026-02-15

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TITLE: Threshold Calibration and Weighting Methodology

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I. PURPOSE

This document defines how thresholds and weighting coefficients within
the Food System Durability Index (FSDI) are calibrated.

Calibration determines:

• Fragility band transitions • Incentive activation logic • Sunset
triggers • Sensitivity response bands

The objective is mathematical clarity without rigidity.

Calibration must remain adaptive, transparent, and resistant to
distortion.

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II. CALIBRATION PRINCIPLES

Threshold calibration must:

• Be data-driven • Reflect regional variability • Avoid single-variable
dominance • Prevent abrupt band shifts • Include review intervals •
Remain publicly documented

Thresholds are guardrails, not policy levers.

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III. BASELINE NORMALIZATION

Each FSDI component (PCS, RRC, BAM, IES, MDR) must be normalized to a
common scale.

Example normalization:

0 – 25 : Critical fragility exposure
26 – 50 : Elevated sensitivity
51 – 75 : Moderate stability
76 – 100: High durability

Normalization ensures comparability across structural variables.

Raw metrics are converted using scaling functions appropriate to each
dataset.

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IV. WEIGHTING COEFFICIENT STRUCTURE

Weight coefficients (w1–w5) determine proportional influence of each
component.

Default baseline weighting may initially assign equal distribution:

w1 = 0.20
w2 = 0.20
w3 = 0.20
w4 = 0.20
w5 = 0.20

However, weighting may be adjusted if structural evidence demonstrates
disproportionate cascade influence in specific components.

Weight adjustment requires:

• Empirical justification • Public disclosure • Multi-year review
consistency

No component may exceed a defined dominance ceiling (e.g., 35%).

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V. THRESHOLD BAND DEFINITIONS

Fragility band transitions may be defined as:

FSDI ≥ 75 : High Durability Band
FSDI 60–74 : Moderate Stability Band
FSDI 45–59 : Elevated Sensitivity Band
FSDI < 45 : Critical Fragility Band

Band assignment requires sustained metric positioning across multiple
reporting intervals.

Single-period fluctuation does not alter classification.

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VI. HYSTERESIS BUFFER DESIGN

To prevent oscillation between bands, a hysteresis buffer is introduced.

Example:

• Region must exceed band threshold by defined margin for two
consecutive reporting periods. • Downward band shifts require sustained
deterioration across multiple intervals.

Hysteresis prevents volatility-driven classification instability.

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VII. SENSITIVITY TESTING

Calibration must include stress testing against:

• 10% processing disruption • 20% fuel cost spike • 15% fertilizer
volatility • Regional transport constraint simulation

Sensitivity analysis evaluates how FSDI responds under modeled stress.

Calibration adjustments may follow repeated simulation findings.

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VIII. REGIONAL ADJUSTMENT FACTORS

Some regions possess structural characteristics that require calibrated
adjustment, such as:

• Low population density but high production output • Seasonal transport
constraints • Climate volatility exposure

Adjustment factors must be:

• Transparent • Limited in scope • Justified by structural data •
Periodically reviewed

Adjustment cannot override core fragility logic.

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IX. ANTI-GAMING MATHEMATICAL CONTROLS

Calibration must prevent metric manipulation through:

• Artificial capacity reporting • Temporary throughput redistribution •
Storage inflation without functional accessibility

Controls include:

• Multi-metric cross-validation • Time-weighted averaging • Beneficial
ownership disclosure integration • Independent audit sampling

Mathematical integrity supports structural legitimacy.

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X. REVIEW AND RECALIBRATION INTERVAL

Calibration parameters should undergo:

• Annual technical review • Five-year structural reassessment •
Post-major-disruption recalibration review

Recalibration must follow evidence-based methodology.

Stability of thresholds preserves predictability.

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XI. STRUCTURAL CONCLUSION

Threshold calibration transforms FSDI from descriptive metric into
operational engineering tool.

It ensures:

• Measured fragility classification • Proportional incentive activation
• Reduced oscillation risk • Transparent weighting logic • Mathematical
defensibility

Vol.II.C now advances from index construction to dynamic simulation and
stress modeling.

Durability becomes quantifiable, testable, and adjustable.

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