Standards
Evidence levels, domain separation, licensing, and the quality dimensions contributions improve.
The standards every contribution is held to — evidence, domain separation, licensing, and the quality dimensions an accepted change improves.
Evidence levels
Reused from the platform's Scientific Authority model. Interpretive traditions use the interpretive level only.
Quality impact (9)
An accepted contribution can improve these deterministic dimensions. We never compute a fabricated quality score — only which dimensions are affected.
More entities and relationships are backed by an authoritative source.
More claims carry a formal, resolvable citation.
The graph gains correct, typed relationships between entities.
More of the graph has been checked by an editor or scientific reviewer.
More entities have a verified, properly-provenanced image.
More entities have accurate titles and descriptions in more languages.
Published datasets become more complete and correct.
Factual values and relationships better match current science.
Dates, events, and discoveries better match the historical record.
Version impact
Every changeset declares how it would version the graph — never a live write.