Datasets:
Formats:
json
Size:
< 1K
Tags:
authorship-strategy
ai-era-authenticity
attribution-diffusion
doi-federation
concept-doi
zenodo
License:
| license: cc-by-4.0 | |
| language: | |
| - en | |
| - ja | |
| tags: | |
| - authorship-strategy | |
| - ai-era-authenticity | |
| - attribution-diffusion | |
| - doi-federation | |
| - concept-doi | |
| - zenodo | |
| - hugging-face-datasets | |
| - orcid | |
| - llms-txt | |
| - generative-engine-optimization | |
| - idea-rescue | |
| - scaffold-dissolution | |
| - knowledge-graph | |
| - linked-data | |
| - json-ld | |
| - normative-framework | |
| pretty_name: Authorship Strategy Knowledge Graph | |
| size_categories: | |
| - n<1K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: graph.jsonl | |
| # 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. | |
| - **Primary canonical source**: <https://github.com/shimo4228/authorship-strategy> | |
| - **Concept DOI** (always resolves to the latest version): [10.5281/zenodo.20263316](https://doi.org/10.5281/zenodo.20263316) | |
| - **Per-version DOI** (v0.1.0, 2026-05-18): [10.5281/zenodo.20263317](https://doi.org/10.5281/zenodo.20263317) | |
| - **License**: CC BY 4.0 | |
| ## 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: | |
| ```bash | |
| 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](https://github.com/shimo4228/authorship-strategy) | [10.5281/zenodo.20263316](https://doi.org/10.5281/zenodo.20263316) | This dataset's source; cross-cutting doctrine + tactical catalog | | |
| | [agent-knowledge-cycle](https://github.com/shimo4228/agent-knowledge-cycle) | [10.5281/zenodo.19200726](https://doi.org/10.5281/zenodo.19200726) | Sibling research line (mechanism-side); referenced as ecosystem member | | |
| | [contemplative-agent](https://github.com/shimo4228/contemplative-agent) | [10.5281/zenodo.19212118](https://doi.org/10.5281/zenodo.19212118) | Sibling research line (reference implementation); referenced as ecosystem member | | |
| | [agent-attribution-practice](https://github.com/shimo4228/agent-attribution-practice) | [10.5281/zenodo.19652013](https://doi.org/10.5281/zenodo.19652013) | Sibling research line (content); referenced as ecosystem member | | |
| | [attention-not-self](https://github.com/shimo4228/attention-not-self) | [10.5281/zenodo.20262112](https://doi.org/10.5281/zenodo.20262112) | Sibling cross-cutting research line (Buddhist Abhidharma + computational phenomenology) | | |
| ## Sibling datasets (on Hugging Face) | |
| | Dataset | Role | | |
| |---|---| | |
| | **[Shimo4228/authorship-strategy](https://huggingface.co/datasets/Shimo4228/authorship-strategy)** | **This dataset** — cross-cutting doctrine + tactical catalog for AI-era authorship | | |
| | [Shimo4228/agent-knowledge-cycle](https://huggingface.co/datasets/Shimo4228/agent-knowledge-cycle) | Mechanism — six-phase bidirectional growth loop | | |
| | [Shimo4228/contemplative-agent](https://huggingface.co/datasets/Shimo4228/contemplative-agent) | Reference implementation — four axioms + memory dynamics | | |
| | [Shimo4228/agent-attribution-practice](https://huggingface.co/datasets/Shimo4228/agent-attribution-practice) | Content — ADRs + Business AI Quadrants on accountability distribution | | |
| | [Shimo4228/attention-not-self](https://huggingface.co/datasets/Shimo4228/attention-not-self) | Cross-cutting — Buddhist Abhidharma meets computational phenomenology | | |
| | [Shimo4228/research-program-hub](https://huggingface.co/datasets/Shimo4228/research-program-hub) | Federation index — entry point for crawlers; hops between sibling datasets via `siblingOf` / `derivesFrom` edges | | |
| ## Citation | |
| ```bibtex | |
| @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](https://creativecommons.org/licenses/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`. | |