R&D EVIDENCE & SOURCE QUALITY REGISTRY

TheoB needs to know what kind of evidence it is looking at.

A registry for peer-reviewed research, preprints, field-tested practice, lineage knowledge, expert opinion, market signals, internal experiments, and hype/noise.

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EVIDENCE DISCIPLINE

Not all sources deserve the same confidence.

R&D Evidence & Source Quality Registry gives TheoB a way to classify research quality before discoveries enter scoring, experiments, claims, products, ceremonies, or system evolution.

EVIDENCE TYPE
Peer-Reviewed Research

Highest scientific credibility when relevant, recent, replicated, and interpreted carefully.

EVIDENCE TYPE
Preprint / Emerging Research

Useful early signal, but must be labeled provisional until reviewed or replicated.

EVIDENCE TYPE
Field-Tested Practice

Strong practical signal when results are documented, repeatable, and context is clear.

EVIDENCE TYPE
Traditional / Lineage Knowledge

Valuable cultural and human knowledge that requires attribution, consent, context, and humility.

EVIDENCE TYPE
Expert Opinion

Useful directional guidance when expertise is clear, conflicts are disclosed, and claims stay bounded.

EVIDENCE TYPE
Market Signal

Shows demand or adoption, but does not prove truth, safety, ethics, or long-term value.

EVIDENCE TYPE
Internal Experiment

TheoB-generated learning from sandbox trials, prototypes, audits, and recovery simulations.

EVIDENCE TYPE
Hype / Noise

Low-trust signal that may be watched, archived, or rejected until evidence improves.

SOURCE QUALITY RULES

Truth work starts by naming the strength and limits of the source.

Evidence type must be labeled before a discovery receives high confidence.

Traditional knowledge should never be treated as ownerless data.

Market excitement is not proof.

Preprints and early claims require uncertainty labels.

Health, wellness, ceremony, and cacao claims require stricter evidence review.

Internal experiments should record method, result, limitation, and rollback memory.

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