Transparency
Research Methodology
How the Teleodynamic AI section is researched, authored, reviewed, versioned, and published. Full editorial transparency — all content is static, manually authored, and peer-reviewed.
No automated content generation is used for claim-boundary contentSource Materials
Content is derived from three source categories:
- Primary research: Published academic papers (see Research Index for 12 annotated sources)
- Architectural documentation: Carcinus.org source code, .uai memory system, deployment logs
- Design specifications: Internal framing documents, claim-status matrix, evaluation packet schema
All sources are cited or linked from the relevant pages. No content is generated by AI models — all claim-boundary text is human-authored and reviewed.
Claim-Status Assignment Process
Every public claim on Carcinus.org must carry one of 7 statuses from the Claim-Status Matrix. The assignment process follows these rules:
- Framing claims are assigned when the claim defines scope or methodology — not an empirical result
- Architectural claims are assigned when the claim describes a structural property of the platform
- Implemented static support requires verifiable evidence that the capability exists in live infrastructure
- Future handoff is assigned when the capability is specified but deliberately not implemented on this site
- Research hypothesis covers speculative ideas that are worth testing but lack evidence
- Not claimed and Rejected overclaim are defensive labels that explicitly bound what Carcinus.org does not assert
Versioning Strategy
All changes to the Teleodynamic AI section follow semantic versioning:
- Major (X.0.0): New research sections, fundamental claim changes, redesigned architecture
- Minor (0.X.0): New pages, new features, content expansion — each pass increments the minor version
- Patch (0.0.X): Corrections, accessibility fixes, broken link repairs, typo fixes
Version history is published in the Carcinus.org Changelog. Every commit is linked to a specific version number. See the Implementation Roadmap for planned future versions.
Peer Review Protocol
Before publication, each page is subject to a review checklist:
- Verify all claims carry visible status labels consistent with the claim-status matrix
- Confirm no prohibited hype language appears as a factual claim
- Check all cross-links resolve correctly
- Validate JSON-LD, OpenGraph, and SEO metadata
- Review for accessibility: heading order, aria labels, contrast, keyboard navigation
- Run automated validation tests (Node.js test suites) for prohibited phrases, JSON validity, and secret patterns
- Human reviewer signs off through the Reviewer Toolkit process
Update Cadence & Correction Policy
Update cadence: Content updates follow a sweep-based model — each version pass delivers a complete, validated batch of changes. No incremental, unprompted edits occur between versions.
Correction policy: If an error in a claim or a broken link is discovered, it is corrected in the next minor version pass. Critical corrections (security, claim-boundary violations) are applied immediately as patches. All corrections are recorded in the changelog with the corrected version number.
Archival Strategy
Every version pass produces:
- A dated archive entry in
.uai/archives/— full session summary with pages, files, safety boundaries - An updated
.uai/progress.uai— cumulative progress record across all versions - A production ZIP containing both the published build and source documentation
- A git commit with the version number and pass title
The Evidence Bundle Archive extends this concept to evaluation packet data, providing downloadable evidence bundles with checksums and manifests.