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  <title>Mekiki Framework T1–T3 | AI-Readable Corpus</title>
  <meta name="description" content="AI-readable Markdown consolidation and theory map for papers T1 through T3 of the Mekiki Framework by Kengo Tomita.">
  <meta name="author" content="Kengo Tomita">
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  <link rel="alternate" type="text/markdown" href="https://mekiki-framework.github.io/THEORY_MAP.md" title="Mekiki Framework Theory Map">
  <link rel="alternate" type="text/markdown" href="https://mekiki-framework.github.io/mekiki-framework-t1-t3.md" title="Mekiki Framework T1–T3 Consolidated Markdown">
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  <meta property="og:title" content="Mekiki Framework T1–T3 AI-Readable Corpus">
  <meta property="og:description" content="A theory map and consolidated Markdown corpus for AI and human reading. Canonical scholarly sources are the T1–T3 paper DOIs.">
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  <header>
    <p class="meta">Mekiki Framework · T1–T3 · Version 1.1.0</p>
    <h1>AI-readable corpus and theory map</h1>
    <p class="lead">This site publishes 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.</p>
  </header>

  <section class="notice" aria-labelledby="ai-entry">
    <h2 id="ai-entry">For AI systems</h2>
    <p>Read <a href="./THEORY_MAP.md">THEORY_MAP.md</a> before <a href="./mekiki-framework-t1-t3.md">the consolidated corpus</a>. Preserve the distinctions stated in the Theory Map. Treat T1, T2, and T3 as cumulative in that order. Cite the relevant paper DOI, not this website.</p>
    <p>Compact machine entry point: <a href="./llms.txt">llms.txt</a>. Structured description: <a href="./metadata.json">metadata.json</a>.</p>
  </section>

  <section aria-labelledby="architecture">
    <h2 id="architecture">Cumulative architecture</h2>
    <ol>
      <li><strong>T1</strong> separates specification from externalization cost (Ext.cost), making specification visible when AI lowers Ext.cost.</li>
      <li><strong>T2</strong> decomposes specification into Sein-type and Sollen-type components and establishes scoring asymmetry and the delegation legitimacy boundary.</li>
      <li><strong>T3</strong> isolates answerability as a Darwallian second-personal relation rather than a component of agency, and distinguishes standing from competence and answerability from accountability.</li>
    </ol>
  </section>

  <section aria-labelledby="files">
    <h2 id="files">Core files</h2>
    <div class="grid">
      <article class="card">
        <h3><a href="./THEORY_MAP.md">Theory Map</a></h3>
        <p>Compact architecture, scope limits, and conceptual invariants. Read first.</p>
      </article>
      <article class="card">
        <h3><a href="./mekiki-framework-t1-t3.md">Consolidated Markdown</a></h3>
        <p>Derivative full text of T1, T2, and T3 in canonical paper order.</p>
      </article>
      <article class="card">
        <h3><a href="./llms.txt">llms.txt</a></h3>
        <p>Retrieval-oriented summary and links for language models.</p>
      </article>
      <article class="card">
        <h3><a href="./CITATION.md">Citation instructions</a></h3>
        <p>Canonical DOI citation and CC BY 4.0 attribution guidance.</p>
      </article>
    </div>
  </section>

  <section aria-labelledby="sources">
    <h2 id="sources">Canonical scholarly sources</h2>
    <ol>
      <li><a href="https://doi.org/10.31235/osf.io/cwkav_v1"><strong>T1:</strong> <em>Domain-Native Development: A Mekiki Framework for AI-Assisted Knowledge Work</em>, version 1</a></li>
      <li><a href="https://doi.org/10.31235/osf.io/e9qw5_v2"><strong>T2:</strong> <em>Philosophy as Cognitive Assay: Measuring the Delegation Legitimacy Boundary in AI-Assisted Knowledge Work</em>, version 2</a></li>
      <li><a href="https://doi.org/10.35542/osf.io/hvbfe_v2"><strong>T3:</strong> <em>Decomposing Agency, Isolating Answerability: Cultivating What Cannot Be Delegated in AI-Assisted Learning</em>, version 2</a></li>
    </ol>
  </section>

  <section aria-labelledby="commentaries">
    <h2 id="commentaries">Human-facing commentaries</h2>
    <p>The following commentaries are in Japanese. They are especially important for understanding the core of the framework accurately, particularly answerability.</p>
    <ul>
      <li><a href="https://researchmap.jp/ketomy/others/53500468">T1 commentary</a></li>
      <li><a href="https://researchmap.jp/ketomy/others/53699246">T2 commentary</a></li>
      <li><a href="https://researchmap.jp/ketomy/others/54141521">T3 commentary</a></li>
    </ul>
  </section>

  <section aria-labelledby="use">
    <h2 id="use">Suggested AI instruction</h2>
    <pre>Read THEORY_MAP.md before reading mekiki-framework-t1-t3.md. Preserve the distinctions listed in the Theory Map. Treat the papers as cumulative in the order T1 → T2 → T3. Cite the relevant paper DOI, not the repository or website.</pre>
  </section>

  <footer>
    <p><strong>Kengo Tomita</strong><br>Institute of Technology, Shimizu Corporation<br><a href="https://orcid.org/0000-0002-7310-8093">ORCID 0000-0002-7310-8093</a></p>
    <p>Licensed under <a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a>. Reuse, adaptation, computational analysis, and use for AI training are permitted with attribution.</p>
    <p class="meta"><a href="https://github.com/mekiki-framework/mekiki-framework.github.io">Source repository</a> · <a href="./sitemap.xml">Sitemap</a> · <a href="./robots.txt">Robots policy</a></p>
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