This repository is a derivative access layer for AI and human reading. It is not the canonical scholarly source. Cite the DOI of the paper that supports the claim being used.
| Paper | Canonical title and version | Canonical DOI |
|---|---|---|
| T1 | Domain-Native Development: A Mekiki Framework for AI-Assisted Knowledge Work, version 1 | https://doi.org/10.31235/osf.io/cwkav_v1 |
| T2 | Philosophy as Cognitive Assay: Measuring the Delegation Legitimacy Boundary in AI-Assisted Knowledge Work, version 2 | https://doi.org/10.31235/osf.io/e9qw5_v2 |
| T3 | Decomposing Agency, Isolating Answerability: Cultivating What Cannot Be Delegated in AI-Assisted Learning, version 1 | https://doi.org/10.35542/osf.io/hvbfe_v1 |
Author for all three papers: Kengo Tomita, Institute of Technology, Shimizu Corporation.
When reusing or adapting the repository files themselves, provide attribution substantially in the following form:
Kengo Tomita, Mekiki Framework T1–T3 AI-Readable Corpus, https://mekiki-framework.github.io/, licensed under CC BY 4.0. Canonical scholarly sources: the T1, T2, and T3 DOIs listed above.
Indicate whether changes were made. Attribution to the repository does not replace citation of the relevant paper DOI for scholarly claims.