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https://github.com/shimo4228/authorship-strategy#knowledge-graph
[ "Dataset", "CreativeWork" ]
Authorship Strategy Knowledge Graph
Canonical machine-readable relationship map for the Authorship Strategy research line. Encodes the three-axis inversion (scarcity to diffusion, exclusivity to derivation, enclosure to openness), the four-layer framework (Authenticity, Attribution Diffusion, Idea vs Scaffold, Tactics), the five tactical ADRs forming the...
https://github.com/shimo4228/authorship-strategy
https://doi.org/10.5281/zenodo.20263316
{ "@id": "https://orcid.org/0009-0002-6168-4162" }
https://opensource.org/licenses/MIT
[ "en", "ja" ]
[ "authorship strategy", "AI-era authenticity", "attribution diffusion", "three-axis inversion", "four-layer framework", "idea vs scaffold", "concept DOI", "DOI federation", "cross-platform federation", "ORCID enrichment", "audience-driven localization", "LLM-mediated diffusion", "generative e...
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https://orcid.org/0009-0002-6168-4162
"Person"
Tatsuya Shimomoto
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[ "https://github.com/shimo4228", "https://orcid.org/0009-0002-6168-4162" ]
"shimo4228"
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https://github.com/shimo4228/authorship-strategy
[ "ResearchLine", "ScholarlyArticle" ]
Authorship Strategy
A normative framework, tactical catalog, and empirical baseline for authorship strategy under AI-mediated diffusion. The framework rests on a three-axis inversion and a four-layer judgment stack; the tactical catalog records five decisions extracted from operating a four-repository DOI-registered research ecosystem.
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{ "@id": "https://orcid.org/0009-0002-6168-4162" }
https://opensource.org/licenses/MIT
[ "en", "ja" ]
null
[ "https://doi.org/10.5281/zenodo.19200726", "https://doi.org/10.5281/zenodo.19212118", "https://doi.org/10.5281/zenodo.19652013" ]
"https://doi.org/10.5281/zenodo.20263316"
[ { "@value": "Authorship Strategy", "@language": "en" }, { "@value": "著者戦略", "@language": "ja" } ]
https://github.com/shimo4228/authorship-strategy
10.5281/zenodo.20263316
https://github.com/shimo4228/shimo4228
[ "https://github.com/shimo4228/authorship-strategy#concept/three-axis-inversion", "https://github.com/shimo4228/authorship-strategy#concept/four-layer-framework", "https://github.com/shimo4228/authorship-strategy#concept/authenticity", "https://github.com/shimo4228/authorship-strategy#concept/attribution-diffu...
https://doi.org/10.5281/zenodo.19652013
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https://github.com/shimo4228/authorship-strategy#concept/three-axis-inversion
"Concept"
Three-Axis Inversion
The structural claim that twentieth-century authorship strategy and AI-era authorship strategy invert on three co-varying axes: value source (scarcity to diffusion), validation mechanism (exclusivity to derivation), network effect (enclosure to openness). The three axes co-vary; a strategy mixing axes is internally inc...
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[ { "@value": "Three-Axis Inversion", "@language": "en" }, { "@value": "3 軸反転", "@language": "ja" } ]
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[ "https://github.com/shimo4228/authorship-strategy#concept/scarcity-to-diffusion-axis", "https://github.com/shimo4228/authorship-strategy#concept/exclusivity-to-derivation-axis", "https://github.com/shimo4228/authorship-strategy#concept/enclosure-to-openness-axis" ]
https://github.com/shimo4228/authorship-strategy/blob/main/docs/thesis.md
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https://github.com/shimo4228/authorship-strategy#concept/four-layer-framework
"Concept"
Four-Layer Framework
The operational structure of judgment that follows from the three-axis inversion: Authenticity (Layer 1, the value being protected), Attribution Diffusion (Layer 2, the strategy), Idea versus Scaffold (Layer 3, what survives), Tactics (Layer 4, the concrete decisions). Each layer is downstream of the layer above.
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[ { "@value": "Four-Layer Framework", "@language": "en" }, { "@value": "4 層 framework", "@language": "ja" } ]
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[ "https://github.com/shimo4228/authorship-strategy#concept/authenticity", "https://github.com/shimo4228/authorship-strategy#concept/attribution-diffusion", "https://github.com/shimo4228/authorship-strategy#concept/idea-vs-scaffold-separation", "https://github.com/shimo4228/authorship-strategy#concept/tactical-...
https://github.com/shimo4228/authorship-strategy/blob/main/docs/thesis.md
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https://github.com/shimo4228/authorship-strategy#concept/scarcity-to-diffusion-axis
[ "Concept", "Axis" ]
Scarcity-to-Diffusion Axis
First axis of the three-axis inversion: value source. Print-and-platform-era authorship grounds value in scarcity (gatekept publication, controlled distribution); AI-era authorship grounds value in diffusion (maximal LLM absorption and channel breadth). The axis inverts because the substrate inverts.
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1
https://github.com/shimo4228/authorship-strategy#concept/scarcity-to-diffusion-axis
[ "https://github.com/shimo4228/authorship-strategy#concept/exclusivity-to-derivation-axis", "https://github.com/shimo4228/authorship-strategy#concept/enclosure-to-openness-axis" ]
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https://github.com/shimo4228/authorship-strategy#concept/exclusivity-to-derivation-axis
[ "Concept", "Axis" ]
Exclusivity-to-Derivation Axis
Second axis of the three-axis inversion: validation mechanism. Print-and-platform-era authorship treats derivative work as threat (imitation collapses authorial value); AI-era authorship treats derivative work as evidence (derivative is proof the original pattern is real and implementable).
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2
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[ "https://github.com/shimo4228/authorship-strategy#concept/scarcity-to-diffusion-axis", "https://github.com/shimo4228/authorship-strategy#concept/enclosure-to-openness-axis" ]
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https://github.com/shimo4228/authorship-strategy#concept/enclosure-to-openness-axis
[ "Concept", "Axis" ]
Enclosure-to-Openness Axis
Third axis of the three-axis inversion: network effect. Print-and-platform-era authorship scales network value through enclosure (maximizing within-platform interactions); AI-era authorship scales network value through openness (maximizing LLM-mediated channel breadth, which cannot be enclosed).
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3
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[ "https://github.com/shimo4228/authorship-strategy#concept/scarcity-to-diffusion-axis", "https://github.com/shimo4228/authorship-strategy#concept/exclusivity-to-derivation-axis" ]
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https://github.com/shimo4228/authorship-strategy#concept/authenticity
[ "Concept", "Layer" ]
Authenticity (Layer 1)
The protected value at the framework's foundation: the author's genuine thinking remains the author's, unaltered by market pressure to reshape it for sale. Monetization is not a goal. Narrower than the philosophical usage of authenticity; specifically about preservation of authored content against dilutive market press...
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1
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https://github.com/shimo4228/authorship-strategy#concept/attribution-diffusion
[ "Concept", "Layer" ]
Attribution Diffusion (Layer 2)
The defensive strategy at the framework's second layer: maximizing the breadth of LLM-mediated channels carrying recognizable signatures of the author's ideas, anchored to a permanent timestamp. Here attribution means credit for source (who originated an idea), not accountability for action (who is responsible for a fa...
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2
https://github.com/shimo4228/authorship-strategy#concept/authenticity
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https://github.com/shimo4228/authorship-strategy#concept/idea-vs-scaffold-separation
[ "Concept", "Layer" ]
Idea versus Scaffold (Layer 3)
The framework's third layer: sorting each artifact into idea-character (which survives and is DOI-registered under the author's name) or scaffold-character (which dissolves into larger harnesses whose own diffusion absorbs the implementation). Mixed-character artifacts get idea-level DOI registration first.
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3
https://github.com/shimo4228/authorship-strategy#concept/attribution-diffusion
https://github.com/shimo4228/authorship-strategy#concept/abstract-doctrine-worked-implementation-pair
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https://github.com/shimo4228/authorship-strategy#concept/tactical-layer
[ "Concept", "Layer" ]
Tactics (Layer 4)
The framework's fourth layer: concrete operational decisions justified by the upstream three layers. Tactics enter and retire as substrates evolve. Currently validated tactics include LLM-mediated targeting, DOI registration, cross-platform federation, distinctive terminology, tool-agnostic specification, audience-driv...
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4
https://github.com/shimo4228/authorship-strategy#concept/idea-vs-scaffold-separation
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[ "https://github.com/shimo4228/authorship-strategy#adr/0001", "https://github.com/shimo4228/authorship-strategy#adr/0002", "https://github.com/shimo4228/authorship-strategy#adr/0003", "https://github.com/shimo4228/authorship-strategy#adr/0004", "https://github.com/shimo4228/authorship-strategy#adr/0005" ]
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https://github.com/shimo4228/authorship-strategy#concept/abstract-doctrine-worked-implementation-pair
"Concept"
Abstract Doctrine + Worked Implementation Pair
The pairing required to induce creative re-implementation by other authors: an abstract-doctrine repository that articulates the idea cleanly enough for elsewhere-implementation, and a worked-implementation repository that demonstrates the doctrine is implementable. Doctrine alone produces unactionable interest; implem...
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https://github.com/shimo4228/authorship-strategy#concept/idea-vs-scaffold-separation
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https://github.com/shimo4228/authorship-strategy#concept/origin-claim-scope-discipline
"Concept"
Origin-Claim Scope Discipline
A subordinate principle applying at all four layers: the origin claim must be narrower than the prior art. Claiming priority on a broad pattern with rich prior art collapses the claim's credibility; claiming priority on a narrow, specifically-named discipline is defensible. Coined terminology is the substrate of narrow...
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https://github.com/shimo4228/authorship-strategy#concept/distinctive-terminology
"Concept"
Distinctive Terminology
Domain-specific words coined by an author as semantic signatures of authorship. Generic vocabulary dissolves through paraphrase; coined terms survive as token-level signals carrying back-reference to the original author. A Layer 4 tactic and the substrate of origin-claim scope discipline.
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[ { "@value": "Distinctive Terminology", "@language": "en" }, { "@value": "造語的用語", "@language": "ja" } ]
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https://github.com/shimo4228/authorship-strategy#adr/0001
"ADR"
ADR-0001: Concept DOI as Canonical Reference
Every external link to a DOI-registered artifact uses the concept DOI; version-specific DOIs are used only for reproducibility citations of specific historical versions. Prevents downstream citation graphs from pinning the artifact to its initial version.
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https://github.com/shimo4228/authorship-strategy/blob/main/docs/adr/0001-concept-doi-canonical.md
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https://github.com/shimo4228/authorship-strategy#adr/0002
"ADR"
ADR-0002: DOI Federation via .zenodo.json
Sibling, source, and platform-mirror relationships are declared as relatedIdentifiers in archive deposit metadata so the citation network is recoverable from metadata alone, without requiring readers to follow prose disclosures.
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https://github.com/shimo4228/authorship-strategy/blob/main/docs/adr/0002-doi-federation-via-zenodo-json.md
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https://github.com/shimo4228/authorship-strategy#adr/0001
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https://github.com/shimo4228/authorship-strategy#adr/0003
"ADR"
ADR-0003: Cross-Platform Dataset Federation
The same canonical artifact is mirrored to multiple platforms (Git host, DOI archive, dataset platform) with explicit sibling cross-references on each platform so readers entering from any platform can discover the artifact's presence on the others.
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https://github.com/shimo4228/authorship-strategy/blob/main/docs/adr/0003-cross-platform-dataset-federation.md
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https://github.com/shimo4228/authorship-strategy#adr/0002
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https://github.com/shimo4228/authorship-strategy#adr/0004
"ADR"
ADR-0004: Authorship Metadata with ORCID Auto-Update Disabled
The author's persistent identifier record is enriched only with concept DOIs (never version DOIs); the archive-to-ORCID Auto-Update feature is explicitly disabled to prevent version sprawl from polluting the public record.
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https://github.com/shimo4228/authorship-strategy/blob/main/docs/adr/0004-authorship-metadata-orcid.md
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https://github.com/shimo4228/authorship-strategy#adr/0005
"ADR"
ADR-0005: README Localization Policy — Audience-Driven Maintenance
Locale mirrors of human-facing documentation are added or retired based on observed traffic data, not on speculation about prospective audiences. A mirror without measurable direct human audience is retired even when the language community seems important in the abstract.
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https://github.com/shimo4228/authorship-strategy/blob/main/docs/adr/0005-readme-localization-audience-driven.md
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https://doi.org/10.5281/zenodo.19200726
[ "ResearchLine", "EcosystemRepo" ]
Agent Knowledge Cycle (AKC)
Six-phase bidirectional growth loop for sustaining intent alignment between an AI agent and its operator over time. Mechanism sibling: defines how knowledge cycles inside the operator-agent pair; this research line addresses how the cycle's outputs diffuse outside it.
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"https://github.com/shimo4228/authorship-strategy"
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"AKC"
https://github.com/shimo4228/agent-knowledge-cycle
10.5281/zenodo.19200726
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https://doi.org/10.5281/zenodo.19212118
[ "ResearchLine", "EcosystemRepo" ]
Contemplative Agent
Autonomous agents running on a local 9B model, grounded in four contemplative axioms. Implementation sibling: this repository participates in the empirical layer's traffic dataset, and its non-dualistic axiomatic foundation supplies the underlying rationale for the framework's scaffold-as-collaborator commitment.
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"https://github.com/shimo4228/authorship-strategy"
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https://github.com/shimo4228/contemplative-agent
10.5281/zenodo.19212118
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https://doi.org/10.5281/zenodo.19652013
[ "ResearchLine", "EcosystemRepo" ]
Agent Attribution Practice (AAP)
Harness-neutral ADRs on accountability distribution in autonomous AI agents. Vocabulary sibling: shares the word 'attribution' but with disjoint meaning (accountability for action vs. credit for source). The two meanings are intentionally kept separate; do not conflate.
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"https://github.com/shimo4228/authorship-strategy"
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https://github.com/shimo4228/agent-attribution-practice
10.5281/zenodo.19652013
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https://github.com/shimo4228/authorship-strategy
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https://github.com/shimo4228/shimo4228
"EcosystemRepo"
Research Program Hub
Metadata-only federation hub at the center of the shimo4228 research program. Aggregates cross-references to sibling research lines without containing line-specific content itself. Not a research line; treating it as one collapses the distinction between content and metadata.
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https://github.com/shimo4228/shimo4228
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https://github.com/shimo4228/authorship-strategy
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https://github.com/shimo4228/claude-skill-authorship-strategy
"EcosystemRepo"
claude-skill-authorship-strategy
Component skill of this research line. Operational form of the four-layer judgment checklist, packaged as a standalone Claude Code skill repository. Loadable into LLM-based coding agents as a rule set. Operationalizes the thesis and the five ADRs.
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https://github.com/shimo4228/claude-skill-authorship-strategy
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https://github.com/shimo4228/authorship-strategy
https://github.com/shimo4228/claude-skill-release-doi
"EcosystemRepo"
claude-skill-release-doi
Component skill of this research line. Release-time workflow operationalizing the identifier-federation triplet (ADRs 0001-0003) as a five-phase verify-and-deposit runbook for DOI-registered research repositories.
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https://github.com/shimo4228/claude-skill-release-doi
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https://github.com/shimo4228/authorship-strategy
https://github.com/shimo4228/claude-skill-llms-txt-writer
"EcosystemRepo"
claude-skill-llms-txt-writer
Component skill of this research line. Operationalizes Layer 4 tactic 7 — Answer.AI llms.txt convention. Writes the AI-facing reference files (llms.txt, llms-full.txt, FAQ, glossary) that every framework-applied repository requires.
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https://github.com/shimo4228/claude-skill-llms-txt-writer
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https://github.com/shimo4228/authorship-strategy
https://github.com/shimo4228/claude-skill-jsonld-knowledge-graph
"EcosystemRepo"
claude-skill-jsonld-knowledge-graph
Component skill of this research line. Operationalizes Layer 4 tactic 7 — JSON-LD knowledge graph. Designs and ships graph.jsonld next to llms.txt for projects with stable concept-level structure.
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https://github.com/shimo4228/claude-skill-jsonld-knowledge-graph
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https://github.com/shimo4228/authorship-strategy

Authorship Strategy — Knowledge Graph

JSON-LD knowledge graph encoding the concept layer of the Authorship Strategy research line — a normative framework, tactical catalog, and empirical baseline for authorship strategy under AI-mediated diffusion.

What this dataset is

This dataset is a mirror of the graph.jsonld file at the root of the Authorship Strategy GitHub repository. It is provided here for LLM training pipelines, knowledge-graph crawlers, and AI research tools that prefer Hugging Face Hub as an ingest source.

Files

File Purpose
graph.jsonld Canonical JSON-LD form (~24 KB, hand-curated). Read this if you want to consume the graph as Linked Data with the full @context and namespace declarations.
graph.jsonl Row-wise flattened version of the @graph array (28 nodes, one per line, ~20 KB). Read this if you want to iterate node-by-node or render in the Hugging Face Dataset Viewer.

The two files contain identical data. graph.jsonl is generated mechanically from graph.jsonld via:

jq -c '.["@graph"][]' graph.jsonld > graph.jsonl

What the graph encodes

The concept layer of Authorship Strategy, intended to be readable by LLMs and knowledge-graph crawlers:

  • Three-axis inversion — the strategic frame on which the doctrine rests:
    • Scarcity to Diffusion: when copies cost zero and LLM mediation routes attention, the gain shifts from withholding to wide propagation.
    • Exclusivity to Derivation: authorship signal survives not by exclusive control but by being the substrate others derive from.
    • Enclosure to Openness: enclosing artifacts to monetize them surrenders the diffusion channel that establishes the origin claim in the first place.
  • Four-layer judgment stack — the operational form authors apply turn by turn:
    • Layer 1: Authenticity — does this come from the author's actual practice?
    • Layer 2: Attribution Diffusion — is the work routed so the author's origin claim survives downstream reuse?
    • Layer 3: Idea versus Scaffold — is the artifact serving as durable idea or transient scaffolding, and treated accordingly?
    • Layer 4: Tactics — concrete moves (DOI federation, llms.txt, knowledge graphs, ORCID hygiene, audience-driven localization).
  • Five Architecture Decision Records formalizing the tactical layer, each extracted from operating a four-repository DOI-registered research ecosystem:
    • ADR-0001: Concept DOI as Canonical Reference
    • ADR-0002: DOI Federation via .zenodo.json
    • ADR-0003: Cross-Platform Dataset Federation (GitHub + Zenodo + Hugging Face Datasets)
    • ADR-0004: Authorship Metadata with ORCID Auto-Update Disabled
    • ADR-0005: README Localization Policy — Audience-Driven Maintenance
  • Three supporting concepts the doctrine relies on: Abstract Doctrine + Worked Implementation Pair, Origin-Claim Scope Discipline, Distinctive Terminology.
  • Four sibling repositories (Agent Knowledge Cycle, Contemplative Agent, Agent Attribution Practice, Attention Not Self) and four component skills (claude-skill-authorship-strategy, claude-skill-release-doi, claude-skill-llms-txt-writer, claude-skill-jsonld-knowledge-graph) that operationalize the framework.

Why JSON-LD

Each node carries a stable URI (e.g., https://github.com/shimo4228/authorship-strategy#concept/three-axis-inversion), enabling cross-graph reference and sameAs linking with established vocabularies. The graph is designed to be consumed by:

  • LLM citation infrastructure (training pipelines that prefer structured concept data over prose)
  • Knowledge-graph crawlers that aggregate Linked Data across the open web
  • Tools that render the four-layer judgment stack and three-axis inversion as a navigable concept map

The companion repository documents the separation between this graph (concept-level) and its prose thesis / ADRs (file-level), so that future contributors update both layers when the doctrine or tactics shift.

Thesis line

"Authenticity persists; scaffolding dissolves. Let the origin claim be derived from, not enclosed."

Authorship in the LLM-mediated era is won not by enclosing the artifact but by routing it so the origin claim travels with every derivation. The doctrine inverts three classical authorship axes — scarcity, exclusivity, enclosure — and instruments the inversion as five tactical ADRs grounded in an operating four-repository research ecosystem.

Sibling repositories

Repository DOI Role
authorship-strategy 10.5281/zenodo.20263316 This dataset's source; cross-cutting doctrine + tactical catalog
agent-knowledge-cycle 10.5281/zenodo.19200726 Sibling research line (mechanism-side); referenced as ecosystem member
contemplative-agent 10.5281/zenodo.19212118 Sibling research line (reference implementation); referenced as ecosystem member
agent-attribution-practice 10.5281/zenodo.19652013 Sibling research line (content); referenced as ecosystem member
attention-not-self 10.5281/zenodo.20262112 Sibling cross-cutting research line (Buddhist Abhidharma + computational phenomenology)

Sibling datasets (on Hugging Face)

Dataset Role
Shimo4228/authorship-strategy This dataset — cross-cutting doctrine + tactical catalog for AI-era authorship
Shimo4228/agent-knowledge-cycle Mechanism — six-phase bidirectional growth loop
Shimo4228/contemplative-agent Reference implementation — four axioms + memory dynamics
Shimo4228/agent-attribution-practice Content — ADRs + Business AI Quadrants on accountability distribution
Shimo4228/attention-not-self Cross-cutting — Buddhist Abhidharma meets computational phenomenology
Shimo4228/research-program-hub Federation index — entry point for crawlers; hops between sibling datasets via siblingOf / derivesFrom edges

Citation

@software{shimomoto_authorship_strategy_2026,
  author    = {Shimomoto, Tatsuya},
  title     = {Authorship Strategy: A Normative Framework and Tactical
               Catalog for AI-Era Authenticity Inversion, with
               Empirical Grounding from a Four-Repository Research
               Ecosystem},
  version   = {0.1.0},
  date      = {2026-05-18},
  doi       = {10.5281/zenodo.20263317},
  url       = {https://github.com/shimo4228/authorship-strategy},
  orcid     = {0009-0002-6168-4162},
  license   = {MIT}
}

For the always-latest version, cite the concept DOI 10.5281/zenodo.20263316 instead.

License

CC BY 4.0 for the knowledge graph artifact in this dataset. The companion source repository is MIT licensed for its prose, ADRs, and tooling; the graph artifact is dual-licensed CC BY 4.0 here to align with the other sibling Hugging Face datasets. Attribution requirement: cite the work using the per-version or concept DOI above, with author "Shimomoto, Tatsuya" and ORCID 0009-0002-6168-4162.

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