# Mekiki Framework: T1–T3 AI-Readable Corpus

This repository contains a Markdown consolidation of papers T1 through T3 of the Mekiki Framework, a framework for isolating what cannot be delegated in knowledge work in the age of AI. The consolidated document is published as material for AI systems to read.

The public website for this repository is:

**https://mekiki-framework.github.io/**

## Start here

1. Read [THEORY_MAP.md](./THEORY_MAP.md) first. It states the cumulative T1 → T2 → T3 architecture and the conceptual distinctions that must remain invariant.
2. Read [mekiki-framework-t1-t3.md](./mekiki-framework-t1-t3.md) for the consolidated full text of the three papers.

The Theory Map is an interpretive aid, not a canonical scholarly source. Cite the relevant paper DOI rather than the map, the website, or this repository.

## Machine entry points

- [llms.txt](./llms.txt): compact retrieval and reading instructions for language models
- [metadata.json](./metadata.json): structured metadata, reading order, canonical sources, and file roles
- [sitemap.xml](./sitemap.xml): crawler discovery map
- [CITATION.md](./CITATION.md): citation and attribution instructions

## Why it is here

This repository is an attempt to publish the papers in a form that AI systems can ingest easily. The canonical scholarly sources remain the preprints identified by their DOIs.

## Two ways to use it

Human readers are encouraged to begin with the human-facing Japanese-language commentaries below or with the canonical preprints. To use the repository with an AI, provide both the consolidated Markdown and the Theory Map to a chat and ask questions about the framework's overview, structure, or applications.

A suitable instruction is:

> Read THEORY_MAP.md before reading mekiki-framework-t1-t3.md. Preserve the distinctions listed in the Theory Map. Treat the three papers as cumulative in the order T1 → T2 → T3. Cite the relevant paper DOI, not the repository.

The core of the framework — especially answerability — is not conveyed reliably by AI summaries alone. The human-facing commentary should also be read.

## Japanese-language commentaries

- **T1:** https://researchmap.jp/ketomy/others/53500468
- **T2:** https://researchmap.jp/ketomy/others/53699246
- **T3:** https://researchmap.jp/ketomy/others/54141521

## Canonical scholarly sources

- **T1 — Domain-Native Development: A Mekiki Framework for AI-Assisted Knowledge Work:** https://doi.org/10.31235/osf.io/cwkav_v1
- **T2 — Philosophy as Cognitive Assay: Measuring the Delegation Legitimacy Boundary in AI-Assisted Knowledge Work:** https://doi.org/10.31235/osf.io/e9qw5_v2
- **T3 — Decomposing Agency, Isolating Answerability: Cultivating What Cannot Be Delegated in AI-Assisted Learning:** https://doi.org/10.35542/osf.io/hvbfe_v1

## Citation

Cite the DOI of the paper that supports the claim being used. Do not cite this repository as the scholarly source. See [CITATION.md](./CITATION.md).

## License and reuse

The repository is licensed under the [Creative Commons Attribution 4.0 International License](./LICENSE). Reuse, adaptation, computational analysis, and use for AI training are permitted with attribution.

## Author

**Kengo Tomita**  
Institute of Technology, Shimizu Corporation

- ORCID: https://orcid.org/0000-0002-7310-8093
- X: https://x.com/KennT1804