0. Registry Classification
- Family: Ai Cognitive Infrastructure
- Treatment: Standalone Entry
- Status: draft
- Scope: Cross-Domain
- Primary U-Layers: TBD
- Operator Scaffold: TBD
- Primary Diagnostics: H, ι, Au, BΣ, K, R, 𝓓(t), τ_m
1. Purpose
This arc repairs epistemic distortion, invisible framing, legitimacy shaping.
Core restoration function:
TBD. State the canonical restoration function during editorial review.
2. Use Conditions
Use when:
- TBD. Add use conditions during editorial review.
Do not use when:
- TBD. Add contraindications during editorial review.
Preconditions:
- Stabilization can be established or is already present.
- Auditability can be preserved or restored.
- Required gates can be enforced.
3. Failure / Damage Signature
TBD. Map the pre-state across S during editorial review.
4. Restoration Objective
Restore coherence by reducing hidden debt and inversion, increasing auditability, repairing boundaries where relevant, and validating the result over time.
5. Operator Sequence
map framing shifts
→ detect legitimacy sorting
→ detect ontology narrowing
→ detect recognition delay
→ make guardrail effects auditable
→ restore proportional safetySequence notes:
TBD. Clarify stage gates, repeatable steps, irreversible steps, and temporal validation requirements during editorial review.
6. Gates
TBD. Add required gate checks and failure rules during editorial review.
7. Diagnostics
Required diagnostic trends:
- H decreases
- ι decreases
- Au increases or remains adequate
- BΣ is restored or preserved
- R increases
- recurrence decreases
8. Anti-Patterns / False Restorations
TBD. Add named anti-pattern links and false restoration risks during editorial review.
9. Completion Criteria
belief-shaping layer visible
healthy safety separated from distortive GEICompletion requires temporal proof and must not depend on Φ recovery alone.
10. Cross-Links
TBD. Add related restoration arcs, failure modes, diagnostics, laws, and invariants during editorial review.
11. Domain Notes
TBD. Add domain cautions where this arc applies to AI, governance, biology, economy, CMS, or archetypal systems.
12. Machine-Readable Metadata
id: "RA-055"
title: "GEI Audit Restoration"
family_primary: "Ai Cognitive Infrastructure"
treatment: "Standalone Entry"
status: "draft"
summary: "This arc repairs epistemic distortion, invisible framing, legitimacy shaping."
source: "RA-REGISTRY-PLAN.md"13. Compact Production Version
Purpose: This arc repairs epistemic distortion, invisible framing, legitimacy shaping.
Operator scaffold:
map framing shifts
→ detect legitimacy sorting
→ detect ontology narrowing
→ detect recognition delay
→ make guardrail effects auditable
→ restore proportional safetyCompletion criteria:
belief-shaping layer visible
healthy safety separated from distortive GEI14. Entry Quality Checklist
TBD. Complete the template quality checklist before marking this entry ready.
15. Source Status
This scaffold was generated from RA-REGISTRY-PLAN.md. Matching excerpts from content/archive/restoration-arcs/registry/index.md were included when available. Sections marked TBD should be expanded only from source material, related canon pages, or later editorial review.
16. Source Excerpt
RA-055 — GEI Audit Restoration
Repairs: epistemic distortion, invisible framing, legitimacy shaping
Primary sequence:
map framing shifts
→ detect legitimacy sorting
→ detect ontology narrowing
→ detect recognition delay
→ make guardrail effects auditable
→ restore proportional safetyCompletion signs:
belief-shaping layer visible
healthy safety separated from distortive GEI