Unify Project Governance and AI Governance into single framework#9
Unify Project Governance and AI Governance into single framework#9JohnRDOrazio merged 10 commits intomainfrom
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…criteria Fold the AI-specific vetting criteria into the general Project Vetting Criteria (now v0.2) as clearly marked "AI domain extension" subsections within each criterion. This eliminates duplication while preserving all Magisterial citations, real-life examples (Father Justin, Robodebt, COMPAS), and the full bibliography. - Remove ai-governance/ directory - Move three research memos to top-level research/ - Update build scripts, deploy workflow, README, and cross-references Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…tal governance Broaden the research memo from AI governance fragmentation to cover the full scope of Catholic digital governance fragmentation — liturgy, Scripture, Magisterial documents, canonical structures — alongside AI. AI governance is preserved as a detailed case study (three dioceses). New sections document how the same subsidiarity-without-solidarity pattern produces incompatible digital representations of shared Church realities. The conclusion now connects to both the CDCF vetting criteria and the standards program. - Rename fragmented-catholic-ai-governance → fragmented-catholic-digital-governance - Update all cross-references in build scripts, deploy workflow, README, and vetting criteria Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Governance-as-Code memo: - Broaden from AI agent deployment to all Catholic technology deployment - Add standards compliance as a second application domain alongside project vetting (CDCF data standards as machine-enforceable schemas) - Keep AI deployment as a dedicated section with regulatory table, multi-agent failure research, and EU AI Act citations - Rename: governance-as-code-catholic-ai → governance-as-code-catholic-technology Trusted Data memo: - Broaden from synthetic data for AI training to trusted data infrastructure covering both institutional data (sensitive, requiring privacy-preserving techniques) and ecclesial data (shared patrimony, requiring standardization) - Add ecclesial data sections: liturgy, Scripture, Magisterial docs, canonical structures — connecting to CDCF standards program - Keep synthetic data and AI training as the detailed domain case study - Rename: trusted-synthetic-data-ministry-ai → trusted-data-infrastructure-catholic-ministry All cross-references updated in build scripts, deploy workflow, README, and vetting criteria. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Preview: Unified Governance Documentation (PDF)To make it easier to review the final result of these changes without reading diffs, here is a combined PDF build of the full document stack as it stands on this branch: 📄 cdcf-governance-docs.pdf (71 pages) What changed in the research memos
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@mj3b before we add any further documents, I would like to propose this merger that I had mentioned, please see the attached pdf in the previous comment and add any comments you may have to this PR, if anything needs adjusting or adaptation before we merge and republish. |
Replace the blanket "federated, not pooled" architecture with a three-tier model that matches each data category to the appropriate infrastructure: - Tier 1 (sensitive institutional data): federated synthetic data, never pooled — CDCF sets validation standards - Tier 2 (local institutional data): locally governed, CDCF defines interoperability standards - Tier 3 (universal Church data): a genuine data commons — the Liturgy, Scripture, Magisterium, Canon Law belong to the universal Church and can be centrally served, with local adaptations contributed by the bishops' conferences and dioceses that govern them Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Three Tiers of Catholic DataThe trusted data infrastructure memo now distinguishes three tiers of Catholic data, each requiring a different infrastructure model:
The key insight: the blanket "federated, not pooled" response is correct for Tiers 1 and 2, but wrong for Tier 3. The General Roman Calendar, the structure of Sacred Scripture, the documents of the Magisterium, and the directory of dioceses belong to the universal Church — they are not any institution's private data. The CDCF can centrally serve this shared baseline, with local adaptations (proper calendars, vernacular editions, diocesan supplements) contributed by the bishops' conferences and dioceses that govern them. |
Local adaptations of universal Church data (vernacular translations, proper calendars) often fall under copyright, which legitimately protects the authority of the local institution and the rights of the publisher it commissioned. Add a hybrid model within Tier 3: 1. Federated option (default): institution serves its own data locally using CDCF standard schemas 2. Centralized option by agreement: CDCF serves the data centrally while respecting copyright norms set by the rights holder Both options use the same schemas, so downstream interoperability is unaffected by the hosting choice. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add references to the CDCF bylaws ("coordinate, develop, steward,
and disseminate open-source software, data repositories, technical
standards, and digital platforms") and manifesto ("builder commons")
to anchor the three-tier data model in the Foundation's charter.
Incorporates the charter grounding from PR #7 into the broader
framework established in this branch.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Latest: copyright-aware hybrid model + bylaws groundingTwo new commits: Hybrid model for copyrighted local adaptations. Tier 3 (universal Church data) now recognizes that vernacular translations and local liturgical adaptations often fall under copyright — protecting both the authority of the local institution and the rights of the publisher it commissioned. Centrally serving this data does not require open-sourcing it. Two options:
Both use identical schemas, so downstream interoperability is unaffected by the hosting choice. CDCF charter grounding. The CDCF Role section now explicitly references the Foundation's bylaws ("coordinate, develop, steward, and disseminate open-source software, data repositories, technical standards, and digital platforms") and manifesto ("builder commons") to anchor the three-tier data model in the Foundation's charter. Relationship to PR #7This PR supersedes #7. PR #7 introduced two changes to the trusted synthetic data memo:
Both of those changes are now incorporated here within a more comprehensive framework: the three-tier data model (Tier 1 federated/synthetic, Tier 2 local, Tier 3 genuine commons with hybrid hosting), the copyright-aware hybrid model, and the bylaws/manifesto grounding. PR #7 can be closed once this PR is merged. |
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Detects deleted governance .md files between tags using git diff and trashes the corresponding WordPress pages. Also removes parent pages when an entire section directory is deleted. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Each document's footnotes are prefixed with a unique key derived from its path, so [^1] in different documents won't clash when concatenated. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Closes #8
Summary
ai-governance/, move research memos toresearch/, update all build scripts, deploy workflow, README, and cross-referencesTest plan
npm run lint:mdpasses (0 errors).mdcross-references resolve correctlybuild-standalone-html.sh,build-combined-pdf.sh)deploy-docs.yml) references the correct document paths and titlesproject-governance/project-vetting-criteria.mdfor completeness — no citations or examples lost from the former AI vetting criteriaresearch/fragmented-catholic-digital-governance.mdfor coherence of the broadened framing🤖 Generated with Claude Code