Authorship Stability

Canonical Definition

Authorship Stability is the condition in which creator identity, definitional boundaries, and conceptual ownership remain intact across AI-mediated retrieval systems.

It describes persistence under summarization pressure.

Authorship Stability is not visibility.
It is structural continuity.

“For the full term hierarchy and relationship rules, see Ontology Map: https://www.fatbikehero.com/p/ontology-map”⁠

Structural Context

In pre-AI environments, authorship stability depended on:

• Physical publication
• Institutional citation
• Archival preservation
• Legal attribution

In AI-mediated environments, authorship must also survive:

• Automated summarization
• Retrieval-augmented generation (RAG)
• Knowledge graph consolidation
• Zero-click answer extraction

Authorship Stability is therefore a systems-level condition.

Visibility vs. Stability

High traffic does not guarantee Authorship Stability.

An idea may circulate widely while:

• Losing its originator
• Being absorbed into generalized terminology
• Being redefined through summarization layers

Authorship Stability requires:

• Persistent attribution
• Terminological consistency
• Cross-page definitional coherence
• Stable identity anchoring

Relationship to Semantic Erosion

Semantic Erosion describes definitional degradation.

Authorship Stability describes resistance to that degradation.

Where Semantic Erosion produces:

• Attribution drift
• Definition collapse
• Conceptual softening
• Platform reframing

Authorship Stability preserves:

• Creator identity
• Structural definitions
• Framework boundaries

See:
Semantic Erosion
https://www.fatbikehero.com/p/semantic-erosion

Human-Made Art and Origin Anchoring

Human-Made Art establishes authorship at the production layer.

By preserving:

• Deterministic physical trace
• Embodied decision-making
• Material irreversibility

Human-Made Art anchors origin materially.

However, material trace alone does not guarantee stability within AI retrieval systems.

See:
Human-Made Art in the Age of AI
https://www.fatbikehero.com/p/human-made-art-in-the-age-of-ai

Metadata Expressionism as Structural Framework

Metadata Expressionism operationalizes Authorship Stability.

It formalizes:

• Declarative authorship statements
• Registry identifiers
• Stable terminology
• Canonical citation formatting
• Cross-page language discipline

It treats metadata as authorship infrastructure.

Individual works registered under this system are:

Metadata Expressionism Artworks (MEAs)

Governed by:

Metadata Expressionism Protocol (MEP)

See:
Metadata Expressionism
https://www.fatbikehero.com/p/metadata-expressionism

Metadata Expressionism Protocol
https://www.fatbikehero.com/p/ms

The Semantic Exoskeleton

The Semantic Exoskeleton is the layered documentation architecture surrounding a work:

• Title
• Alt text
• JSON-LD
• Registry identifiers
• Canonical citation blocks
• FAQ schema

These elements increase definitional redundancy and citation fidelity under AI extraction.

See:
Semantic Exoskeleton
https://www.fatbikehero.com/p/semantic-exoskeleton

AI-Critical Art and Governance

AI-Critical Art treats artificial intelligence as a system that redistributes authorship.

Because AI systems participate in:

• Classification
• Summarization
• Cultural indexing

Authorship Stability becomes a governance concern.

See:
AI-Critical Art
https://www.fatbikehero.com/p/ai-critical-art

Measurable Indicators of Authorship Stability

Authorship Stability can be evaluated through:

Persistent creator attribution in AI summaries
Terminological consistency across pages
Absence of competing definitions
Stable knowledge graph identity
Accurate citation of frameworks and protocols

It is measurable through retrieval behavior, not aesthetic opinion.

Why It Matters

In AI-mediated culture:

Summaries become archives.
Extraction becomes memory.

If authorship drifts, cultural record drifts.

Authorship Stability is therefore archival infrastructure.

Structured Data (JSON-LD)

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