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TG-SR-3

TrustGate Scoring Rubric Appendices

Appendix A — Scoring Dimension Catalog

A.1. Purpose

The Scoring Dimension Catalog defines the canonical registry of constitutional scoring dimensions used throughout the ZAYAZ ecosystem.

Each scoring dimension represents an independently measurable aspect of constitutional quality.

The catalog establishes stable identifiers, semantic definitions, and constitutional ownership for every scoring dimension.

A.2. Constitutional Principles

Every scoring dimension shall:

represent a single constitutional concern;
be independently measurable;
support deterministic evaluation;
preserve constitutional provenance;
support replay;
remain implementation independent.

Dimensions shall be uniquely identifiable.

A.3. Canonical Dimension Structure

Every catalog entry consists of:

Field	Description
SDID	Scoring Dimension Identifier
Name	Canonical name
Constitutional Domain	Rubric association
Description	Constitutional meaning
Measurement Type	Numeric, Level, Boolean, Vector
Evidence Sources	Constitutional evidence
Replay Support	Replay applicability
Federation Support	Federation applicability
TG-INTEL Support	Intelligence applicability

A.4. Validation Dimensions

SDID	Dimension
SDID-VALID-RULES	Validation Rules
SDID-VALID-RESULTS	Validation Results
SDID-VALID-COVERAGE	Rule Coverage
SDID-VALID-EXCEPTIONS	Exceptions
SDID-VALID-ERRORS	Errors
SDID-VALID-WARNINGS	Warnings

A.5. Trust Dimensions

SDID	Dimension
SDID-TRUST-OBJECTS	Trust Objects
SDID-TRUST-VECTORS	Trust Vectors
SDID-TRUST-CONFIDENCE	Trust Confidence
SDID-TRUST-PROVENANCE	Provenance
SDID-TRUST-INTEGRITY	Integrity
SDID-TRUST-MATURITY	Trust Maturity

A.6. Attestation Dimensions

SDID	Dimension
SDID-ATTEST-COVERAGE	Coverage
SDID-ATTEST-QUALITY	Quality
SDID-ATTEST-VALIDITY	Validity
SDID-ATTEST-VERIFIER	Verifier Assurance
SDID-ATTEST-REPLAY	Replay Support
SDID-ATTEST-LIFECYCLE	Lifecycle Governance

A.7. Replay Dimensions

SDID	Dimension
SDID-REPLAY-ARTIFACT	Replay Artifacts
SDID-REPLAY-DETERMINISM	Determinism
SDID-REPLAY-COMPLETE	Completeness
SDID-REPLAY-EQUIVALENCE	Constitutional Equivalence
SDID-REPLAY-LINEAGE	Lineage Preservation
SDID-REPLAY-INTEGRITY	Integrity
SDID-REPLAY-CONFIDENCE	Confidence
SDID-REPLAY-MATURITY	Replay Maturity

A.8. Federation Dimensions

SDID	Dimension
SDID-FED-PROFILES	Federation Profiles
SDID-FED-PACKAGES	Exchange Packages
SDID-FED-SYNC	Synchronization
SDID-FED-DELEGATION	Trust Delegation
SDID-FED-SECURITY	Security
SDID-FED-SOVEREIGNTY	Sovereignty
SDID-FED-CONFIDENCE	Confidence
SDID-FED-MATURITY	Federation Maturity

A.9. AI Dimensions

SDID	Dimension
SDID-AI-CONSTITUTION	Constitutional Compliance
SDID-AI-EXPLAIN	Explainability
SDID-AI-EVIDENCE	Evidence Discipline
SDID-AI-RECOMMEND	Recommendation Quality
SDID-AI-SIMULATION	Simulation Accuracy
SDID-AI-LEARNING	Learning Quality
SDID-AI-GOVERNANCE	Governance Compliance
SDID-AI-CATV	Constitutional AI Trust Vector

A.10. Governance Dimensions

SDID	Dimension
SDID-GOV-POLICY	Policy Quality
SDID-GOV-DECISION	Decision Governance
SDID-GOV-DELEGATION	Delegated Authority
SDID-GOV-LIFECYCLE	Lifecycle Governance
SDID-GOV-COMPLIANCE	Compliance
SDID-GOV-CGC	Constitutional Governance Capacity
SDID-GOV-CONFIDENCE	Governance Confidence
SDID-GOV-MATURITY	Governance Maturity

A.11. Composite Dimensions

SDID	Dimension
SDID-COMP-CSCORE	Composite Constitutional Score
SDID-COMP-CONFIDENCE	Composite Confidence
SDID-COMP-CIPOT	Constitutional Improvement Potential
SDID-COMP-TRAJECTORY	Constitutional Trajectory
SDID-COMP-GATING	Gating Status

A.12. Constitutional Relationships

Scoring dimensions may reference:

Validation Rule Registry;
Trust Model;
Attestation Catalog;
Replay Specification;
Federation Profiles;
TG-INTEL;
CALM;
CPA;
CIA;
CIR;
DAL.

Dimensions consume constitutional evidence without modifying originating artifacts.

A.13. Lifecycle

Each scoring dimension follows the constitutional lifecycle.

Proposed
      │
      ▼
Approved
      │
      ▼
Implemented
      │
      ▼
Measured
      │
      ▼
Versioned
      │
      ▼
Deprecated
      │
      ▼
Archived

Lifecycle governance is managed through CALM.

A.14. Constitutional Constraints

Every Scoring Dimension shall satisfy the following requirements.

Every SDID shall be globally unique.
Every dimension shall have one constitutional meaning.
Dimensions shall preserve semantic stability across versions.
Measurements shall remain replayable.
Dimensions shall support provenance.
Dimensions shall be independently explainable.
Dimensions shall remain implementation independent.

These constraints are normative.

A.15. Summary

The Scoring Dimension Catalog provides the canonical registry of constitutional scoring dimensions across the ZAYAZ ecosystem.

By assigning each dimension a stable Scoring Dimension Identifier (SDID), constitutional definition, evidence model, and lifecycle, the catalog ensures that scoring remains consistent, interoperable, replayable, and explainable across Validation, Trust, Attestation, Replay, Federation, AI, Governance, and future constitutional domains.

Appendix B — Scoring Identifier Reference

B.1. Purpose

The Scoring Identifier Reference defines the canonical identifier namespaces used throughout the Constitutional Scoring Framework.

Each identifier provides a globally unique, stable, replayable, and implementation-independent reference to a constitutional scoring artifact.

Identifiers are governed by the Constitutional Identifier Registry (CIR).

B.2. Constitutional Principles

Every scoring identifier shall:

be globally unique;
remain immutable after publication;
preserve semantic stability;
support replay;
support federation;
support provenance;
support lifecycle governance.

Identifiers shall never encode implementation details.

B.3. Identifier Family Overview

Identifier	Name	Purpose
SRID	Scoring Result Identifier	Published constitutional score artifact
SDID	Scoring Dimension Identifier	Canonical scoring dimension
SCID	Scoring Category Identifier	Logical scoring category
SMID	Scoring Metric Identifier	Atomic scoring metric
SVID	Score Vector Identifier	Constitutional Score Vector (CSVA)
SPID	Scoring Profile Identifier	Weighting/profile definition
SXID	Score Explanation Identifier	Constitutional explanation (CSX)
CTID	Constitutional Trajectory Identifier	Trajectory record
CPID	Constitutional Prediction Identifier	Predicted Constitutional Delta / forecast
CGID	Constitutional Gating Identifier	Gating rule definition
CCID	Composite Constitutional Score Identifier	Composite score artifact

Each namespace is independent.

B.4. SRID — Scoring Result Identifier

Represents an immutable published constitutional score.

Example

SRID-ORG-2026-000143

SRIDs identify Constitutional Score Artifacts (CSA).

B.5. SDID — Scoring Dimension Identifier

Represents a canonical scoring dimension.

Examples

SDID-VALID-RULES

SDID-TRUST-OBJECTS

SDID-REPLAY-DETERMINISM

SDID-AI-EXPLAINABILITY

SDID-GOV-DELEGATION

SDIDs remain semantically stable across framework versions.

B.6. SCID — Scoring Category Identifier

Groups related scoring dimensions.

Examples

SCID-QUALITY

SCID-CONFIDENCE

SCID-COVERAGE

SCID-INTEGRITY

SCID-GOVERNANCE

SCID-MATURITY

Categories provide semantic organization rather than scoring values.

B.7. SMID — Scoring Metric Identifier

Identifies an individual measurable metric.

Examples

SMID-VALID-RULE-PASS-RATE

SMID-REPLAY-SUCCESS

SMID-TRUST-CONFIDENCE

SMID-AI-FORECAST-ERROR

SMID-GOV-POLICY-COVERAGE

Metrics are the lowest measurable constitutional unit.

B.8. SVID — Score Vector Identifier

Identifies a Constitutional Score Vector.

Examples

SVID-VALID

SVID-TRUST

SVID-REPLAY

SVID-FEDERATION

SVID-AI

SVID-GOVERNANCE

Each vector aggregates multiple dimensions.

B.9. SPID — Scoring Profile Identifier

Represents a constitutional scoring profile.

Examples

SPID-BALANCED

SPID-ASSURANCE

SPID-FEDERATION

SPID-AI

SPID-SUSTAINABILITY

Profiles determine weighting and optional gating configuration.

B.10. SXID — Score Explanation Identifier

Identifies a Constitutional Score Explanation (CSX).

Example

SXID-2026-004211

Explanations remain immutable after publication.

B.11. CTID — Constitutional Trajectory Identifier

Identifies a Constitutional Trajectory Record.

Example

CTID-ORG-TRAJECTORY-0048

Trajectory records describe constitutional evolution over time.

B.12. CPID — Constitutional Prediction Identifier

Represents predictive scoring artifacts.

Examples include:

Predicted Constitutional Delta (PCD)
Constitutional Improvement Potential (CIPOT)
Bayesian forecasts
Monte Carlo projections

Example

CPID-FORECAST-000117

Prediction identifiers distinguish forecasts from observed results.

B.13. CGID — Constitutional Gating Identifier

Identifies constitutional gating rules.

Examples

CGID-GOVERNANCE

CGID-SECURITY

CGID-IDENTITY

CGID-INTEGRITY

CGID-REPLAY

Gating identifiers reference constitutional constraints rather than scores.

B.14. CCID — Composite Constitutional Score Identifier

Represents the published Composite Constitutional Score.

Example

CCID-ENTERPRISE-2026-0009

Composite identifiers reference executive-level constitutional assessments.

B.15. Identifier Relationships

SRID
 │
 ├── SVID
 │      ├── SDID
 │      │      └── SMID
 │
 ├── SPID
 ├── SXID
 ├── CTID
 ├── CPID
 ├── CGID
 └── CCID

Identifiers preserve constitutional lineage.

B.16. Constitutional Governance

All scoring identifiers are governed through:

CIR;
CIA;
CALM;
CPA;
Replay;
Federation.

Identifiers shall remain stable throughout their lifecycle.

B.17. Lifecycle

Every scoring identifier follows the constitutional lifecycle.

Allocated
      │
      ▼
Registered
      │
      ▼
Referenced
      │
      ▼
Published
      │
      ▼
Versioned
      │
      ▼
Deprecated
      │
      ▼
Archived

Identifiers are never reassigned.

B.18. Constitutional Constraints

Every scoring identifier shall satisfy the following requirements.

Every identifier shall be globally unique.
Every identifier shall represent exactly one constitutional concept.
Identifiers shall remain immutable.
Identifiers shall preserve replayability.
Identifiers shall support federation.
Identifiers shall preserve provenance.
Identifiers shall remain implementation independent.

These constraints are normative.

B.19. Summary

The Scoring Identifier Reference establishes the canonical namespace for all constitutional scoring artifacts within the ZAYAZ ecosystem.

By defining dedicated identifier families—including SRID, SDID, SCID, SMID, SVID, SPID, SXID, CTID, CPID, CGID, and CCID—the framework provides a stable, replayable, federated, and implementation-independent identity model for every element of constitutional scoring. This identifier hierarchy ensures consistent governance, interoperability, provenance, and long-term semantic stability across all current and future scoring capabilities.

Appendix C — Scoring Pipeline

C.1. Purpose

The Constitutional Scoring Pipeline defines the canonical execution model for constitutional scoring within the ZAYAZ ecosystem.

It specifies how constitutional evidence is transformed into measurable metrics, score vectors, composite scores, constitutional intelligence, and published scoring artifacts.

The pipeline is deterministic, replayable, explainable, and implementation independent.

C.2. Constitutional Pipeline Principles

The scoring pipeline shall:

consume immutable constitutional evidence;
execute deterministically;
preserve constitutional provenance;
support replay;
support federation;
produce explainable results;
generate constitutional intelligence;
remain implementation independent.

Every execution shall preserve constitutional lineage.

C.3. Canonical Pipeline Overview

Evidence Layer
        │
        ▼
Measurement Layer
        │
        ▼
Evaluation Layer
        │
        ▼
Composition Layer
        │
        ▼
Intelligence Layer
        │
        ▼
Publication Layer

Each layer has a single constitutional responsibility.

C.4. Stage S1 — Evidence Collection

Purpose

Collect constitutional evidence required for scoring.

Representative inputs include:

Validation Results;
Trust Objects;
Trust Vectors;
Attestations;
Replay Artifacts;
Federation Events;
TG-INTEL analyses;
Governance Policies;
DAL Anchors;
Constitutional Improvement Proposals.

Outputs:

normalized constitutional evidence;
evidence provenance;
evidence confidence.

No scoring occurs during this stage.

C.5. Stage S2 — Metric Measurement

Purpose

Evaluate individual constitutional metrics (SMIDs).

Representative activities include:

metric calculation;
threshold evaluation;
completeness assessment;
confidence estimation;
anomaly detection.

Outputs:

constitutional metrics;
metric confidence;
metric provenance.

Metrics are the atomic building blocks of scoring.

C.6. Stage S3 — Dimension Evaluation

Purpose

Aggregate metrics into constitutional scoring dimensions (SDIDs).

Representative activities include:

dimension calculation;
confidence aggregation;
evidence validation;
constitutional consistency checks;
dimension explanations.

Outputs:

Scoring Dimensions;
dimension confidence;
dimension explanations.

Dimensions remain independently explainable.

C.7. Stage S4 — Score Composition

Purpose

Produce constitutional score vectors and composite scores.

Representative activities include:

vector aggregation;
weighting profile application;
gating evaluation;
confidence propagation;
Composite Constitutional Score calculation.

Outputs:

Constitutional Score Vectors (CSVEC);
Composite Constitutional Score (CCSCORE);
Constitutional Score Explanation (CSX).

Composite scores remain decomposable.

C.8. Stage S5 — Constitutional Intelligence

Purpose

Generate forward-looking constitutional intelligence.

Representative activities include:

Constitutional Trajectory (CT);
Predicted Constitutional Delta (PCD);
Constitutional Improvement Potential (CIPOT);
Constitutional Improvement Proposal (CIP);
Constitutional Improvement Backlog (CIB) updates;
Bayesian confidence updates;
Monte Carlo scenario analysis.

Outputs:

predictive constitutional artifacts;
recommended improvements;
strategic priorities.

This stage transforms scoring into continuous constitutional improvement.

C.9. Stage S6 — Publication

Purpose

Publish immutable constitutional scoring artifacts.

Representative outputs include:

Constitutional Score Artifact (CSA);
Constitutional Score Vector Artifact (CSVA);
Composite Constitutional Score;
Constitutional Score Explanation;
Constitutional Trajectory Record;
Confidence Assessment;
Runtime telemetry.

Published artifacts become constitutional records.

C.10. Micro-Engine Mapping

Representative scoring micro-engines.

Stage	Micro-Engine	Responsibility
S1	ME-SCORE-001 Evidence Collector	Collect constitutional evidence
S2	ME-SCORE-002 Metric Engine	Calculate SMIDs
S3	ME-SCORE-003 Dimension Engine	Produce SDIDs
S4	ME-SCORE-004 Vector Engine	Generate CSVECs
S4	ME-SCORE-005 Composite Engine	Produce CCSCORE
S4	ME-SCORE-006 Gating Engine	Apply constitutional gates
S5	ME-SCORE-007 Trajectory Engine	Compute CT
S5	ME-SCORE-008 Prediction Engine	Compute PCD/CIPOT
S5	ME-SCORE-009 Recommendation Engine	Generate CIPs
S5	ME-SCORE-010 CIB Synchronizer	Update backlog
S6	ME-SCORE-011 Publication Engine	Publish constitutional artifacts
S6	ME-SCORE-012 Telemetry Engine	Emit runtime telemetry

Each micro-engine shall possess its own constitutional identity and telemetry.

C.11. Constitutional Decision Points

The pipeline contains several constitutional decision points.

Examples include:

evidence completeness;
confidence thresholds;
constitutional gating;
policy compliance;
governance authorization;
replay verification;
publication approval.

Decision points shall be deterministic.

C.12. Replay Integration

Every pipeline stage supports replay.

Replay reconstructs:

evidence collection;
metric calculations;
dimension evaluations;
vector composition;
gating decisions;
trajectory generation;
published artifacts.

Replay verifies constitutional equivalence.

C.13. Federation Integration

Pipeline outputs may participate in federation.

Federated scoring exchanges may include:

score vectors;
composite scores;
explanations;
trajectories;
confidence assessments;
constitutional recommendations.

Federation preserves constitutional semantics.

C.14. TG-INTEL Integration

TG-INTEL consumes pipeline outputs to produce constitutional intelligence.

Representative capabilities include:

constitutional benchmarking;
anomaly detection;
organizational comparisons;
trend analysis;
strategic recommendations;
executive summaries;
digital officer guidance.

TG-INTEL never modifies published scoring artifacts.

C.15. Constitutional Runtime Flow

Evidence
      │
      ▼
SMIDs
      │
      ▼
SDIDs
      │
      ▼
CSVEC
      │
      ▼
CCSCORE
      │
      ▼
CT / PCD / CIPOT
      │
      ▼
CIP
      │
      ▼
CIB
      │
      ▼
Publication

Each transformation preserves constitutional provenance.

C.16. Relationship to Constitutional Frameworks

The Scoring Pipeline integrates with:

Framework	Contribution
Validation Rule Registry	Validation evidence
Trust Model	Trust evidence
Attestation Catalog	Assurance evidence
Replay Specification	Replay verification
Federation Profiles	Constitutional exchange
TG-INTEL	Constitutional intelligence
CALM	Lifecycle governance
CPA	Persistence
CIA	Constitutional identities
CIR	Identifier governance
DAL	Integrity verification
Constitutional Strategy Engine (CSE)	Strategic prioritization
Constitutional Operating System (COS)	Enterprise orchestration

The pipeline consumes constitutional evidence while preserving artifact integrity.

C.17. Constitutional Constraints

Every Scoring Pipeline implementation shall satisfy the following requirements.

Evidence shall remain immutable during execution.
Metrics shall be deterministic.
Dimensions shall remain independently measurable.
Composite scores shall remain decomposable.
Intelligence artifacts shall reference published evidence.
Replay shall reproduce equivalent outcomes.
Publication shall preserve provenance.
The pipeline shall remain implementation independent.

These constraints are normative.

C.18. Summary

The Constitutional Scoring Pipeline defines the canonical runtime model for transforming constitutional evidence into trusted, explainable, and actionable intelligence.

Through six architectural layers—Evidence, Measurement, Evaluation, Composition, Intelligence, and Publication—the pipeline creates Constitutional Score Artifacts, Composite Constitutional Scores, Trajectory Records, Predictions, and Improvement Proposals. By integrating with Replay, Federation, TG-INTEL, the Constitutional Strategy Engine, and the Constitutional Operating System, the pipeline establishes scoring as a continuously operating constitutional capability that not only measures organizational health but also drives sustained constitutional improvement.

Appendix D — Score Lifecycle

D.1. Purpose

The Score Lifecycle defines the canonical lifecycle governing Constitutional Score Artifacts throughout the ZAYAZ ecosystem.

It specifies how constitutional scores are created, evaluated, published, superseded, replayed, federated, archived, and retained while preserving provenance, replayability, governance, and constitutional integrity.

The lifecycle is governed by the Constitutional Artifact Lifecycle Model (CALM).

D.2. Constitutional Principles

Every Constitutional Score Artifact shall:

possess a constitutional identity (CIA);
possess canonical identifiers (CIR);
preserve immutable publication;
support replay;
preserve provenance;
support federation;
maintain lifecycle governance.

Scores shall never be modified after publication.

D.3. Canonical Lifecycle

Every score follows the same constitutional lifecycle.

Calculated
      │
      ▼
Validated
      │
      ▼
Approved
      │
      ▼
Published
      │
      ▼
Observed
      │
      ▼
Referenced
      │
      ▼
Superseded
      │
      ▼
Archived

Each transition creates constitutional lifecycle events.

D.4. State Definitions

State	Description
Calculated	Initial score produced by the Scoring Pipeline
Validated	Score verified for completeness, consistency, and gating compliance
Approved	Governance policies authorize publication
Published	Immutable Constitutional Score Artifact (CSA) becomes authoritative
Observed	Score participates in dashboards, analytics, TG-INTEL, and Digital Officer reasoning
Referenced	Score is cited by reports, Replay, Federation, audits, or downstream artifacts
Superseded	A newer constitutional score replaces the score as the current authoritative assessment
Archived	Score remains permanently available for replay, audit, and historical analysis

Superseded artifacts remain valid historical records.

D.5. Lifecycle Transitions

Representative lifecycle transitions include:

Calculate

Validate

Approve

Publish

Replay

Reference

Federate

Supersede

Archive

Retain

Every transition shall be governed by CALM.

D.6. Constitutional Events

Representative lifecycle events include:

ScoreCalculated

ScoreValidated

ScoreApproved

ScorePublished

ScoreReferenced

ScoreReplayed

ScoreFederated

ScoreSuperseded

ScoreArchived

ScoreRetained

Events are immutable constitutional records.

D.7. Constitutional Relationships

A Constitutional Score Artifact may reference:

Constitutional Score Vectors (CSVA);
Composite Constitutional Scores (CCSCORE);
Constitutional Score Explanations (CSX);
Constitutional Trajectory Records (CTR);
Confidence Assessments;
Predicted Constitutional Deltas (PCD);
Constitutional Improvement Proposals (CIP);
Constitutional Improvement Backlog (CIB);
Replay Artifacts;
DAL Anchors.

Relationships preserve constitutional lineage.

D.8. Score Genealogy

Every published score participates in a constitutional genealogy.

CSA v1
   │
   ▼
CSA v2
   │
   ▼
CSA v3
   │
   ▼
CSA v4

Each generation records:

evidence changes;
metric changes;
dimension changes;
profile changes;
governance policy changes;
constitutional improvement actions;
replay references.

Genealogy explains why constitutional scores evolve over time.

D.9. Constitutional Trajectory Integration

Lifecycle events contribute to Constitutional Trajectory (CT).

Representative trajectory analyses include:

score evolution;
rate of improvement;
improvement acceleration;
confidence evolution;
governance maturity;
prediction accuracy.

Trajectory is computed from historical score lifecycles.

D.10. Replay Integration

Every lifecycle transition shall be replayable.

Replay reconstructs:

lifecycle state;
governing policies;
evidence;
scoring profile;
approvals;
confidence;
resulting score artifacts.

Replay verifies constitutional equivalence.

D.11. Federation Integration

Lifecycle states may be exchanged through Federation Profiles.

Federated exchanges preserve:

lifecycle status;
provenance;
identifiers;
governance metadata;
replay references;
trust metadata.

Federation shall not modify lifecycle semantics.

D.12. Governance

Lifecycle transitions are governed by constitutional policy.

Representative controls include:

publication approval;
supersession authorization;
archival policy;
retention policy;
federation permissions;
replay permissions;
Digital Officer autonomy limits.

Governance policies determine permitted lifecycle transitions.

D.13. Constitutional Persistence

Lifecycle information is persisted through CPA.

Representative persisted records include:

lifecycle state;
transition history;
timestamps;
approving authority;
replay references;
genealogy links;
integrity anchors.

Lifecycle persistence preserves constitutional continuity.

D.14. Relationship to Constitutional Frameworks

Framework	Contribution
CALM	Lifecycle governance
CIA	Constitutional identities
CIR	Identifier governance
CPA	Persistence
Replay Specification	Lifecycle replay
TrustGate	Trust evidence
TG-INTEL	Constitutional intelligence
Federation Profiles	Federated lifecycle exchange
DAL	Integrity verification
Constitutional Artifact Store (CAS)	Canonical artifact persistence

The lifecycle integrates constitutional scoring into the enterprise-wide constitutional ecosystem.

D.15. Constitutional Constraints

Every Score Lifecycle implementation shall satisfy the following requirements.

Published scores shall remain immutable.
Superseded scores shall never be deleted.
Lifecycle transitions shall preserve provenance.
Every transition shall be replayable.
Genealogy shall remain complete.
Lifecycle state shall support federation.
Historical scores shall remain queryable.
Lifecycle governance shall remain implementation independent.

These constraints are normative.

D.16. Summary

The Score Lifecycle defines the constitutional governance of scoring artifacts throughout their entire existence.

By treating Constitutional Score Artifacts as immutable records with managed lifecycle states, genealogy, replay support, federation compatibility, and governance controls, the lifecycle ensures that every score remains traceable, explainable, and reproducible. This approach transforms scoring from a sequence of isolated calculations into a continuously evolving constitutional history that supports audits, intelligence, strategic planning, and long-term organizational learning.

Appendix E — Score Conformance Levels

E.1. Purpose

The Score Conformance Levels define the progressive maturity model for implementing the Constitutional Scoring Framework within the ZAYAZ ecosystem.

The model provides a standardized basis for evaluating scoring implementations across organizations, products, Digital Officers, federations, and constitutional services.

Conformance levels are cumulative. Each higher level includes all capabilities of the preceding levels.

E.2. Constitutional Principles

Every conformance level shall:

preserve constitutional semantics;
maintain deterministic scoring;
support replayability;
preserve provenance;
remain implementation independent;
integrate with constitutional governance.

Conformance measures capability rather than technology.

E.3. Conformance Overview

Level	Identifier	Constitutional Maturity
Score Production	SC-C1	Deterministic constitutional scoring
Score Assurance	SC-C2	Trusted, explainable, governed scoring
Score Intelligence	SC-C3	Predictive constitutional intelligence
Constitutional Optimization	SC-C4	Autonomous constitutional improvement

Each level extends the previous one.

E.4. SC-C1 — Score Production

Purpose

Provide deterministic constitutional scoring.

Required capabilities include:

Constitutional Score Artifacts (CSA);
Constitutional Score Vectors (CSVA);
Composite Constitutional Scores (CCSCORE);
deterministic calculations;
canonical identifiers;
immutable publication;
constitutional persistence;
replay compatibility.

Representative integrations:

CPA;
CIA;
CIR;
CALM.

SC-C1 establishes constitutional scoring as a trusted runtime capability.

E.5. SC-C2 — Score Assurance

Purpose

Ensure published scores are explainable, reproducible, and governed.

Additional capabilities include:

Constitutional Score Explanations (CSX);
confidence assessment;
provenance tracking;
governance approval workflows;
policy enforcement;
integrity verification (DAL);
replay validation;
constitutional genealogy references.

Representative integrations:

Replay Specification;
TrustGate;
DAL;
CALM;
Constitutional Genealogy Framework (CGF).

SC-C2 establishes confidence in both the score and the scoring process.

E.6. SC-C3 — Score Intelligence

Purpose

Transform scoring into proactive constitutional intelligence.

Additional capabilities include:

Constitutional Trajectory (CT);
Predicted Constitutional Delta (PCD);
Constitutional Improvement Potential (CIPOT);
Bayesian confidence calibration;
Monte Carlo scenario evaluation;
Constitutional Improvement Proposals (CIPs);
Constitutional Improvement Backlog (CIB) integration;
TG-INTEL reasoning.

Representative integrations:

TG-INTEL;
Computation Hub;
Constitutional Strategy Engine (CSE);
Digital Officers.

SC-C3 enables continuous constitutional insight rather than periodic assessment.

E.7. SC-C4 — Constitutional Optimization

Purpose

Continuously optimize constitutional maturity through governed autonomy.

Additional capabilities include:

policy-governed autonomous recommendations;
Constitutional Strategy Engine orchestration;
Digital Officer collaboration;
automated replay validation before recommendation;
adaptive scoring profile optimization;
constitutional learning loops;
federated constitutional benchmarking;
continuous optimization of Constitutional Quality Index (CQI).

Representative integrations:

CSE;
CIB;
TG-INTEL;
Federation Profiles;
Replay Specification;
Constitutional Operating System (COS).

SC-C4 represents a self-improving constitutional enterprise.

E.8. Capability Matrix

Capability	SC-C1	SC-C2	SC-C3	SC-C4
Deterministic scoring	✓	✓	✓	✓
Composite scores	✓	✓	✓	✓
Score vectors	✓	✓	✓	✓
Replay support	✓	✓	✓	✓
Explainability		✓	✓	✓
Confidence assessment		✓	✓	✓
Provenance		✓	✓	✓
Governance controls		✓	✓	✓
Constitutional genealogy		✓	✓	✓
Constitutional trajectory			✓	✓
Predictive scoring			✓	✓
Bayesian learning			✓	✓
Constitutional Improvement Proposals			✓	✓
CIB integration			✓	✓
Autonomous optimization				✓
Strategy Engine orchestration				✓
Federated optimization				✓
Continuous CQI optimization				✓

E.9. Certification Guidance

Organizations may certify implementations against Score Conformance Levels.

Representative certification evidence includes:

replay verification results;
governance compliance;
scoring accuracy;
explanation quality;
confidence calibration;
federation interoperability;
constitutional intelligence maturity;
optimization effectiveness.

Certification remains implementation independent.

E.10. Advancement Criteria

Progression between levels shall demonstrate measurable capability improvements.

Examples include:

SC-C1 → SC-C2:
- governed publication;
- replay validation;
- explainability;
- provenance.
SC-C2 → SC-C3:
- predictive intelligence;
- trajectory analysis;
- improvement recommendations;
- TG-INTEL integration.
SC-C3 → SC-C4:
- governed autonomous optimization;
- Digital Officer orchestration;
- constitutional learning;
- enterprise-wide optimization.

Advancement shall be evidence based.

E.11. Relationship to Constitutional Frameworks

Framework	Contribution
Validation Rule Registry	Validation evidence
Trust Model	Trust scoring
Attestation Catalog	Assurance scoring
Replay Specification	Replay maturity
Federation Profiles	Federated scoring
TG-INTEL	Constitutional intelligence
CALM	Lifecycle governance
CPA	Persistence
CIA	Constitutional identities
CIR	Identifier governance
DAL	Integrity verification
Constitutional Genealogy Framework (CGF)	Historical lineage
Constitutional Strategy Engine (CSE)	Strategic optimization
Constitutional Artifact Store (CAS)	Artifact persistence
Constitutional Operating System (COS)	Runtime orchestration

Conformance demonstrates integrated constitutional maturity.

E.12. Constitutional Constraints

Every Score Conformance implementation shall satisfy the following requirements.

Higher conformance levels shall include all lower-level capabilities.
Published scores shall remain immutable.
Constitutional semantics shall be preserved across all levels.
Replay equivalence shall be maintained.
Governance shall remain independently auditable.
Conformance claims shall be evidence based.
Autonomous optimization shall remain policy governed.
Implementations shall remain technology independent.

These constraints are normative.

E.13. Summary

The Score Conformance Levels establish the canonical maturity model for constitutional scoring across the ZAYAZ ecosystem.

Beginning with deterministic score production and progressing through assurance, predictive intelligence, and ultimately policy-governed constitutional optimization, the model enables organizations to measure and continuously improve their scoring capabilities. By integrating with Replay, TrustGate, TG-INTEL, the Constitutional Genealogy Framework, the Constitutional Strategy Engine, and the Constitutional Operating System, these conformance levels transform scoring into a strategic, continuously learning constitutional capability rather than a static reporting function.

Appendix F — Score Invariant Families

F.1. Purpose

The Score Invariant Families define the constitutional properties that shall always hold for Constitutional Score Artifacts and all related scoring processes.

These invariants ensure that constitutional scoring remains deterministic, explainable, trustworthy, replayable, governable, and implementation independent.

Every conformant implementation shall preserve these invariants throughout the complete score lifecycle.

F.2. Constitutional Principles

Every invariant shall:

preserve constitutional semantics;
remain technology independent;
support replay;
preserve provenance;
support federation;
maintain constitutional trust.

Invariant violations indicate constitutional non-conformance.

F.3. Invariant Families

The Constitutional Scoring Framework defines the following invariant families.

Family	Identifier	Purpose
Structural	SCI	Identity, lineage, persistence
Mathematical	SMI	Deterministic score computation
Evidence	SEI	Evidence integrity
Replay	SRI	Replay equivalence
Governance	SGI	Policy and approval integrity
Intelligence	SII	Predictive constitutional intelligence
Federation	SFI	Cross-domain interoperability
Trust	STI	Trustworthiness of published scores

F.4. SCI — Structural Invariants

Structural invariants preserve the constitutional identity of score artifacts.

SCI-001

Every Constitutional Score Artifact shall possess exactly one constitutional identity (CIA).

SCI-002

Every score shall possess one immutable SRID.

SCI-003

Published score artifacts shall remain immutable.

SCI-004

Every score shall preserve complete genealogy.

SCI-005

Every score shall preserve constitutional provenance.

SCI-006

Every score shall remain independently referenceable through CIR.

F.5. SMI — Mathematical Invariants

Mathematical invariants govern score computation.

SMI-001

Equivalent constitutional evidence shall always produce equivalent scores.

SMI-002

Composite Constitutional Scores shall remain decomposable into constituent score vectors.

**SMI-003

Score vectors shall remain reproducible.

SMI-004

Scoring profiles shall be deterministic.

SMI-005

Weighting functions shall preserve constitutional semantics.

SMI-006

Confidence shall remain independently measurable.

SMI-007

Constitutional gates shall be evaluated before score publication.

F.6. SEI — Evidence Invariants

Evidence invariants preserve the relationship between scores and constitutional evidence.

SEI-001

Every published score shall reference immutable constitutional evidence.

SEI-002

Evidence shall remain traceable through provenance.

SEI-003

Evidence completeness shall be measurable.

SEI-004

Confidence shall reflect evidence quality.

SEI-005

Scores shall never exist without constitutional evidence.

F.7. SRI — Replay Invariants

Replay invariants guarantee constitutional reproducibility.

SRI-001

Replay shall reconstruct equivalent constitutional scores.

SRI-002

Replay shall preserve constitutional identifiers.

SRI-003

Replay shall preserve score explanations.

SRI-004

Replay shall preserve confidence calculations.

SRI-005

Replay shall preserve constitutional lineage.

F.8. SGI — Governance Invariants

Governance invariants preserve constitutional authority.

SGI-001

Published scores shall satisfy governance policy.

SGI-002

Unauthorized publication shall be impossible.

SGI-003

Governance approvals shall remain auditable.

SGI-004

Autonomous recommendations shall respect Constitutional Governance Capacity (CGC).

SGI-005

Policy changes shall never modify published scores.

F.9. SII — Intelligence Invariants

Intelligence invariants govern predictive constitutional behavior.

SII-001

Predictions shall remain distinguishable from observations.

SII-002

Constitutional Improvement Proposals shall never alter published score artifacts.

SII-003

Constitutional Trajectory shall reference published historical scores.

SII-004

Bayesian learning shall preserve evidence provenance.

SII-005

Learning models shall remain explainable.

SII-006

Predicted Constitutional Delta (PCD) shall reference its originating evidence set and scoring profile.

F.10. SFI — Federation Invariants

Federation invariants preserve semantic interoperability.

SFI-001

Federated score exchange shall preserve constitutional meaning.

SFI-002

Federation shall preserve identifiers.

SFI-003

Federation shall preserve provenance.

SFI-004

Federation shall preserve replay references.

SFI-005

Federation shall preserve governance metadata.

F.11. STI — Trust Invariants

Trust invariants establish confidence in constitutional scoring.

STI-001

Trust evidence shall remain independently verifiable.

STI-002

Integrity verification (DAL) shall be reproducible.

STI-003

Confidence shall never exceed evidence quality.

STI-004

Attestations shall preserve constitutional meaning.

STI-005

Trust metadata shall remain replayable.

F.12. Cross-Framework Relationships

Score invariants integrate with:

Framework	Relationship
Validation Rule Registry	Validation evidence invariants
Trust Model	Trust invariants
Attestation Catalog	Assurance invariants
Replay Specification	Replay invariants
Federation Profiles	Exchange invariants
CALM	Lifecycle invariants
CPA	Persistence invariants
CIA	Identity invariants
CIR	Identifier invariants
DAL	Integrity invariants
Constitutional Genealogy Framework (CGF)	Lineage invariants
Constitutional Artifact Store (CAS)	Persistence and discoverability
Constitutional Strategy Engine (CSE)	Strategic improvement invariants

The invariant families extend and reinforce constitutional guarantees across the platform.

F.13. Runtime Validation

Runtime components shall continuously evaluate invariant compliance.

Representative activities include:

invariant verification during score calculation;
replay-based invariant validation;
federation conformance checks;
governance policy validation;
confidence calibration;
integrity verification;
genealogy consistency analysis.

Violations shall generate constitutional events and may trigger Constitutional Improvement Proposals (CIPs).

F.14. Constitutional Constraints

Every implementation shall satisfy the following requirements.

All invariant families shall remain simultaneously true.
Invariants shall be evaluated throughout the score lifecycle.
Violations shall be detectable and auditable.
Invariant evaluation shall itself be replayable.
Invariants shall remain implementation independent.
Published score artifacts shall never violate constitutional invariants.

These constraints are normative.

F.15. Summary

The Score Invariant Families establish the non-negotiable constitutional guarantees governing all aspects of scoring within the ZAYAZ ecosystem.

By defining structural, mathematical, evidence, replay, governance, intelligence, federation, and trust invariants, the framework ensures that every Constitutional Score Artifact remains reproducible, explainable, trustworthy, and policy compliant throughout its lifecycle. Together with CALM, CPA, CIA, CIR, DAL, the Constitutional Genealogy Framework, and the Constitutional Artifact Store, these invariants provide the formal foundation for constitutional scoring as a reliable, auditable, and continuously improving enterprise capability.

Appendix G — Weight Profiles

G.1. Purpose

The Weight Profile Catalog defines the canonical weighting models used by the Constitutional Scoring Framework.

A Weight Profile specifies how constitutional dimensions, categories, vectors, and composite scores are aggregated to produce organizational assessments while preserving transparency, replayability, and governance.

Weight Profiles are constitutional policy artifacts governed through CALM.

G.2. Constitutional Principles

Every Weight Profile shall:

preserve constitutional semantics;
remain deterministic;
be independently explainable;
support replay;
preserve provenance;
support federation;
remain implementation independent.

Weight Profiles shall never modify constitutional evidence.

G.3. Constitutional Weighting Model

Weighting occurs at multiple constitutional layers.

Metric (SMID)
        │
        ▼
Dimension (SDID)
        │
        ▼
Category (SCID)
        │
        ▼
Score Vector (SVID)
        │
        ▼
Composite Constitutional Score (CCSCORE)

Each layer may define independent weighting policies.

G.4. Weight Profile Structure

Every Weight Profile consists of:

Field	Description
SPID	Scoring Profile Identifier
Name	Canonical profile name
Purpose	Constitutional objective
Scope	Applicable domains
Weight Model	Relative weighting definition
Gating Policy	Constitutional gates
Confidence Policy	Confidence aggregation
Version	CALM lifecycle version
Governance Policy	Approval requirements

Profiles are immutable after publication.

G.5. Canonical Weight Profiles

SPID-BALANCED

Purpose

General constitutional maturity.

Characteristics

equal domain weighting;
balanced governance;
default enterprise profile.

Representative weighting:

Domain	Weight
Validation	15%
Trust	15%
Attestation	15%
Replay	15%
Federation	10%
AI	10%
Governance	20%

SPID-ASSURANCE

Purpose

Audit and regulatory assurance.

Representative emphasis:

Validation
Trust
Attestation
Replay
Governance

Suitable for:

CSRD;
ESRS;
ISO;
external assurance;
regulators.

SPID-SUSTAINABILITY

Purpose

ESG and sustainability maturity.

Representative emphasis:

Governance
Attestation
AI recommendations
Improvement trajectory
Data quality

Optimized for sustainability transformation.

SPID-FEDERATION

Purpose

Cross-enterprise constitutional interoperability.

Representative emphasis:

Federation
Replay
Trust
DAL integrity
synchronization quality

Suitable for ecosystem governance.

SPID-AUTONOMY

Purpose

Governed autonomous constitutional improvement.

Representative emphasis:

AI quality;
Constitutional Strategy Engine;
Digital Officers;
prediction accuracy;
Constitutional Improvement Backlog (CIB).

Suitable for highly mature organizations.

G.6. Weight Categories

Weight Profiles may define weights at several levels.

Examples include:

metric weights;
dimension weights;
category weights;
vector weights;
composite weights;
confidence weights;
governance modifiers.

Each category remains independently configurable.

G.7. Constitutional Gating

Weight Profiles may define constitutional gates.

Representative gates include:

minimum governance score;
replay compliance;
trust confidence threshold;
attestation completeness;
validation coverage;
federation compatibility.

Failure of mandatory gates may override weighted scores.

G.8. Confidence Aggregation

Weight Profiles specify confidence policies.

Representative models include:

minimum confidence;
weighted confidence;
Bayesian confidence;
evidence-derived confidence;
conservative confidence;
federated confidence.

Confidence policies remain explicit and explainable.

G.9. Adaptive Weight Profiles

Organizations may define adaptive Weight Profiles.

Adaptive profiles may consider:

organizational maturity;
regulatory context;
industry sector;
risk exposure;
assurance objectives;
constitutional trajectory.

Adaptive behavior shall remain policy governed.

G.10. AI Optimization

TG-INTEL and the Constitutional Strategy Engine may recommend Weight Profile improvements.

Examples include:

increasing governance emphasis;
strengthening validation importance;
reducing AI influence until explainability improves;
emphasizing federation readiness;
prioritizing replay assurance.

Recommendations shall never automatically modify published profiles.

G.11. Lifecycle

Every Weight Profile follows CALM.

Draft
      │
      ▼
Reviewed
      │
      ▼
Approved
      │
      ▼
Published
      │
      ▼
Referenced
      │
      ▼
Superseded
      │
      ▼
Archived

Published profiles remain immutable.

G.12. Replay Integration

Replay reconstructs:

Weight Profile version;
applied weights;
confidence policy;
governance policy;
gating decisions;
resulting score calculations.

Equivalent inputs and Weight Profiles shall produce equivalent outputs.

G.13. Federation Integration

Weight Profiles may be exchanged through Federation Profiles.

Federated exchanges preserve:

SPID;
profile semantics;
governance metadata;
confidence policies;
replay references;
provenance.

Receiving organizations may map external profiles to local equivalents while preserving constitutional meaning.

G.14. Relationship to Constitutional Frameworks

Framework	Contribution
Scoring Rubric	Dimension definitions
CALM	Lifecycle governance
CIA	Constitutional identities
CIR	Identifier governance
CPA	Persistence
Replay Specification	Replay verification
Federation Profiles	Profile exchange
TG-INTEL	Profile recommendations
DAL	Integrity verification
Constitutional Strategy Engine (CSE)	Strategic optimization
Constitutional Genealogy Framework (CGF)	Profile lineage
Constitutional Artifact Store (CAS)	Canonical storage

Weight Profiles govern score composition while preserving constitutional integrity.

G.15. Constitutional Constraints

Every Weight Profile implementation shall satisfy the following requirements.

Published Weight Profiles shall remain immutable.
Weight calculations shall be deterministic.
Weight Profiles shall be independently explainable.
Replay shall reproduce equivalent weighting behavior.
Governance policies shall be enforceable.
Confidence aggregation shall remain transparent.
Adaptive behavior shall remain policy governed.
Implementations shall remain technology independent.

These constraints are normative.

G.16. Summary

The Weight Profile Catalog defines the constitutional policies governing how evidence is transformed into organizational scores.

By elevating Weight Profiles from configuration settings to governed constitutional artifacts, the framework enables organizations to align scoring with regulatory obligations, strategic priorities, and organizational maturity while preserving transparency, replayability, federation compatibility, and auditability. Through integration with CALM, Replay, TG-INTEL, the Constitutional Strategy Engine, and the Constitutional Genealogy Framework, Weight Profiles become a foundational mechanism for constitutional governance rather than merely numerical weighting.

Appendix H — Constitutional Industry Knowledge Profiles (IKP)

H.1. Purpose

The Constitutional Industry Knowledge Profile (IKP) defines the canonical industry intelligence used throughout the ZAYAZ Constitutional Operating System.

Rather than configuring scoring directly, an IKP encapsulates reusable constitutional knowledge for one or more industries and provides standardized defaults for scoring, validation, reporting, materiality, computation, trust, governance, Digital Officers, and other constitutional capabilities.

IKPs are constitutional artifacts governed through CALM.

H.2. Constitutional Principles

Every IKP shall:

preserve constitutional semantics;
remain implementation independent;
support replay;
preserve provenance;
support federation;
inherit constitutional governance;
remain reusable across modules.

Industry knowledge shall be defined once and consumed everywhere.

H.3. Constitutional Organization Profile (COP)

Industry knowledge is not selected manually.

Instead, ZAYAZ generates a Constitutional Organization Profile (COP).

Representative inputs include:

NACE activities;
country;
legal jurisdiction;
organization size;
listed status;
ownership structure;
subsidiaries;
business units;
products and services;
supply-chain complexity;
ESRS applicability;
EU Taxonomy activities;
assurance objectives;
governance maturity;
constitutional maturity;
organizational strategy.

The COP represents the constitutional identity of the organization from a configuration perspective.

H.4. Constitutional Profile Generation

The COP is used to generate one or more Industry Knowledge Profiles.

Organization
      │
      ▼
Constitutional Organization Profile (COP)
      │
      ▼
Industry Knowledge Resolution
      │
      ▼
Applicable IKPs
      │
      ▼
Generated Constitutional Configuration

Generation is deterministic and replayable.

H.5. Relationship to NACE

NACE serves as the primary industry taxonomy.

IKPs may reference:

Sections;
Divisions;
Groups;
Classes;
multiple NACE codes.

Example

Section C
Manufacturing

inherits common manufacturing knowledge.

More specific NACE classes contribute increasingly specialized constitutional knowledge.

Organizations with multiple activities may reference multiple IKPs.

H.6. IKP Structure

Every IKP consists of:

Field	Description
IKPID	Industry Knowledge Profile Identifier
Name	Canonical profile name
Referenced NACE Codes	One or more NACE codes
Industry Description	Constitutional scope
Knowledge Domains	Supported constitutional capabilities
Regulatory Context	Applicable regulations
Default Policies	Constitutional defaults
Version	CALM lifecycle version
Provenance	Knowledge sources

IKPs are immutable after publication.

H.7. Knowledge Domains

An IKP may provide constitutional defaults for:

Validation Rule Sets;
Materiality Templates;
Weight Profiles;
ESG Metrics;
Computation Models;
Carbon Models;
Product Footprint Models;
Organizational Footprint Models;
Supply Chain Models;
Trust Profiles;
Attestation recommendations;
Replay policies;
Federation policies;
Digital Officer behaviour;
AI reasoning prompts;
constitutional reports;
benchmark datasets;
Constitutional Improvement recommendations.

Every module consumes the same constitutional knowledge.

H.8. Generated Constitutional Configuration

Rather than requiring manual configuration, ZAYAZ generates an initial constitutional configuration.

Representative outputs include:

Validation Rules;
Weight Profiles;
Materiality configuration;
ESG metrics;
Reports;
Computation Hub models;
Trust policies;
Replay configuration;
Federation Profiles;
Digital Officer capabilities;
TG-INTEL reasoning models.

Organizations begin with an optimized constitutional baseline rather than an empty configuration.

H.9. Composite Industry Knowledge

Organizations frequently operate across multiple industries.

The COP may therefore resolve multiple IKPs.

Example

Manufacturing
        45%

Technology
        30%

Energy
        15%

Logistics
        10%

The Constitutional Policy Engine (CPE) combines these profiles into one generated constitutional configuration.

Composite knowledge preserves constitutional semantics.

H.10. AI-Assisted Optimization

TG-INTEL continuously evaluates the COP.

Representative recommendations include:

updated Validation Rule Sets;
revised Weight Profiles;
additional ESG metrics;
improved attestation coverage;
enhanced replay policies;
governance improvements;
industry benchmark comparisons;
Digital Officer enhancements.

Recommendations require constitutional governance approval.

H.11. Learning

The Constitutional Strategy Engine (CSE) continuously improves organizational profiles.

Learning sources include:

Replay;
Constitutional scores;
constitutional trajectories;
benchmarking;
Bayesian learning;
Monte Carlo analysis;
federation intelligence;
Constitutional Improvement Backlog (CIB).

Learning refines future profile generation while preserving published artifacts.

H.12. Lifecycle

Every IKP follows CALM.

Draft
      │
      ▼
Reviewed
      │
      ▼
Approved
      │
      ▼
Published
      │
      ▼
Referenced
      │
      ▼
Superseded
      │
      ▼
Archived

Published IKPs remain immutable.

H.13. Replay Integration

Replay reconstructs:

Constitutional Organization Profile;
resolved IKPs;
applied Weight Profiles;
generated constitutional configuration;
governance policies;
resulting constitutional scores.

Equivalent organizational characteristics shall produce equivalent constitutional configurations.

H.14. Federation Integration

IKPs may be exchanged through Federation Profiles.

Federated exchanges preserve:

IKP identifiers;
referenced NACE codes;
provenance;
governance metadata;
replay references;
knowledge lineage.

Receiving organizations may map equivalent industry knowledge while preserving constitutional semantics.

H.15. Relationship to Constitutional Frameworks

Framework	Contribution
NACE Registry	Industry classification
Weight Profile Catalog	Default scoring policies
Validation Rule Registry	Validation defaults
Materiality Framework	Materiality defaults
Computation Hub	Computational models
TrustGate	Trust policies
TG-INTEL	Constitutional intelligence
CALM	Lifecycle governance
CIA	Constitutional identities
CIR	Identifier governance
CPA	Persistence
DAL	Integrity verification
Replay Specification	Configuration replay
Federation Profiles	Cross-enterprise knowledge exchange
Constitutional Policy Engine (CPE)	Policy resolution
Constitutional Strategy Engine (CSE)	Continuous optimization
Constitutional Genealogy Framework (CGF)	Knowledge lineage
Constitutional Artifact Store (CAS)	Canonical storage

The IKP serves as a shared constitutional knowledge source for the entire platform.

H.16. Constitutional Constraints

Every implementation shall satisfy the following requirements.

IKPs shall never redefine constitutional semantics.
Generated configurations shall remain deterministic.
NACE mappings shall preserve hierarchical inheritance.
Composite profiles shall remain explainable.
Published IKPs shall remain immutable.
Replay shall reproduce equivalent configurations.
Learning shall never modify published artifacts.
Implementations shall remain technology independent.

These constraints are normative.

H.17. Summary

The Constitutional Industry Knowledge Profile transforms industry knowledge into a reusable constitutional capability.

By combining a Constitutional Organization Profile with NACE classifications, regulatory context, organizational characteristics, governance maturity, and strategic objectives, ZAYAZ automatically generates an optimized constitutional configuration tailored to each organization. This configuration becomes the shared foundation for Validation, Materiality, Computation Hub, TrustGate, Replay, Federation, TG-INTEL, Digital Officers, and Constitutional Scoring, enabling organizations to begin with a highly accurate, policy-governed baseline that can evolve continuously through constitutional learning and governance.

GitHub Repo Request for Change (RFC)

Appendix A — Scoring Dimension Catalog​

A.1. Purpose​

A.2. Constitutional Principles​

A.3. Canonical Dimension Structure​

A.4. Validation Dimensions​

A.5. Trust Dimensions​

A.6. Attestation Dimensions​

A.7. Replay Dimensions​

A.8. Federation Dimensions​

A.9. AI Dimensions​

A.10. Governance Dimensions​

A.11. Composite Dimensions​

A.12. Constitutional Relationships​

A.13. Lifecycle​

A.14. Constitutional Constraints​

A.15. Summary​

Appendix B — Scoring Identifier Reference​

B.1. Purpose​

B.2. Constitutional Principles​

B.3. Identifier Family Overview​

B.4. SRID — Scoring Result Identifier​

B.5. SDID — Scoring Dimension Identifier​

B.6. SCID — Scoring Category Identifier​

B.7. SMID — Scoring Metric Identifier​

B.8. SVID — Score Vector Identifier​

B.9. SPID — Scoring Profile Identifier​

B.10. SXID — Score Explanation Identifier​

B.11. CTID — Constitutional Trajectory Identifier​

B.12. CPID — Constitutional Prediction Identifier​

B.13. CGID — Constitutional Gating Identifier​

B.14. CCID — Composite Constitutional Score Identifier​

B.15. Identifier Relationships​

B.16. Constitutional Governance​

B.17. Lifecycle​

B.18. Constitutional Constraints​

B.19. Summary​

Appendix C — Scoring Pipeline​

C.1. Purpose​

C.2. Constitutional Pipeline Principles​

C.3. Canonical Pipeline Overview​

C.4. Stage S1 — Evidence Collection​

C.5. Stage S2 — Metric Measurement​

C.6. Stage S3 — Dimension Evaluation​

C.7. Stage S4 — Score Composition​

C.8. Stage S5 — Constitutional Intelligence​

C.9. Stage S6 — Publication​

C.10. Micro-Engine Mapping​

C.11. Constitutional Decision Points​

C.12. Replay Integration​

C.13. Federation Integration​

C.14. TG-INTEL Integration​

C.15. Constitutional Runtime Flow​

C.16. Relationship to Constitutional Frameworks​

C.17. Constitutional Constraints​

C.18. Summary​

Appendix D — Score Lifecycle​

D.1. Purpose​

D.2. Constitutional Principles​

D.3. Canonical Lifecycle​

D.4. State Definitions​

D.5. Lifecycle Transitions​

D.6. Constitutional Events​

D.7. Constitutional Relationships​

D.8. Score Genealogy​

D.9. Constitutional Trajectory Integration​

D.10. Replay Integration​

D.11. Federation Integration​

D.12. Governance​

D.13. Constitutional Persistence​

D.14. Relationship to Constitutional Frameworks​

D.15. Constitutional Constraints​

D.16. Summary​

Appendix E — Score Conformance Levels​

E.1. Purpose​

E.2. Constitutional Principles​

E.3. Conformance Overview​

E.4. SC-C1 — Score Production​

E.5. SC-C2 — Score Assurance​

E.6. SC-C3 — Score Intelligence​

E.7. SC-C4 — Constitutional Optimization​

Appendix A — Scoring Dimension Catalog

A.1. Purpose

A.2. Constitutional Principles

A.3. Canonical Dimension Structure

A.4. Validation Dimensions

A.5. Trust Dimensions

A.6. Attestation Dimensions

A.7. Replay Dimensions

A.8. Federation Dimensions

A.9. AI Dimensions

A.10. Governance Dimensions

A.11. Composite Dimensions

A.12. Constitutional Relationships

A.13. Lifecycle

A.14. Constitutional Constraints

A.15. Summary

Appendix B — Scoring Identifier Reference

B.1. Purpose

B.2. Constitutional Principles

B.3. Identifier Family Overview

B.4. SRID — Scoring Result Identifier

B.5. SDID — Scoring Dimension Identifier

B.6. SCID — Scoring Category Identifier

B.7. SMID — Scoring Metric Identifier

B.8. SVID — Score Vector Identifier

B.9. SPID — Scoring Profile Identifier

B.10. SXID — Score Explanation Identifier

B.11. CTID — Constitutional Trajectory Identifier

B.12. CPID — Constitutional Prediction Identifier

B.13. CGID — Constitutional Gating Identifier

B.14. CCID — Composite Constitutional Score Identifier

B.15. Identifier Relationships

B.16. Constitutional Governance

B.17. Lifecycle

B.18. Constitutional Constraints

B.19. Summary

Appendix C — Scoring Pipeline

C.1. Purpose

C.2. Constitutional Pipeline Principles

C.3. Canonical Pipeline Overview

C.4. Stage S1 — Evidence Collection

C.5. Stage S2 — Metric Measurement

C.6. Stage S3 — Dimension Evaluation

C.7. Stage S4 — Score Composition

C.8. Stage S5 — Constitutional Intelligence

C.9. Stage S6 — Publication

C.10. Micro-Engine Mapping

C.11. Constitutional Decision Points

C.12. Replay Integration

C.13. Federation Integration

C.14. TG-INTEL Integration

C.15. Constitutional Runtime Flow

C.16. Relationship to Constitutional Frameworks

C.17. Constitutional Constraints

C.18. Summary

Appendix D — Score Lifecycle

D.1. Purpose

D.2. Constitutional Principles

D.3. Canonical Lifecycle

D.4. State Definitions

D.5. Lifecycle Transitions

D.6. Constitutional Events

D.7. Constitutional Relationships

D.8. Score Genealogy

D.9. Constitutional Trajectory Integration

D.10. Replay Integration

D.11. Federation Integration

D.12. Governance

D.13. Constitutional Persistence

D.14. Relationship to Constitutional Frameworks

D.15. Constitutional Constraints

D.16. Summary

Appendix E — Score Conformance Levels

E.1. Purpose

E.2. Constitutional Principles

E.3. Conformance Overview

E.4. SC-C1 — Score Production

E.5. SC-C2 — Score Assurance

E.6. SC-C3 — Score Intelligence

E.7. SC-C4 — Constitutional Optimization