Assessment

An observation that scores a target against a criterion (or whole rubric) — vantage = the judge, human or model: an LLM judge is just a vantage, and two models disagreeing are two coexisting cells with no winner (Principle 9). The judge model's identity and prompt digest travel as observation provenance. gmeow:assessmentCriterion / gmeow:assessmentRubric play the observationMethod ROLE but are deliberately not subproperties of it (observationMethod is functional with a QualityValue range; Criterion and Rubric are Entities — the claimModality axiom pattern). Scoring-density expectations by target granularity reuse kernel gmeow:hasGranularity on the target.

Structure

Subclass of: gmeow:Observation

Practical Pattern

Use gmeow:Assessment as a specialized kind of gmeow:Observation. Add statement metadata or a standpoint when the assertion needs provenance, confidence, or vantage.

Common Companion Terms

gmeow:Observation

Projects To

Profile External Targets
schema-org rdf, schema

Linkages

Generated from the canonical mapping DSL. SSSOM files are the generated public interchange form for term equivalences.

Projection Coverage

Source Kind Profile Predicate/Relation Target Evidence
gmeow:Assessment projection schema-org projects to / <= rdf:type, schema:ClaimReview, schema:Rating, schema:author, schema:itemReviewed, schema:ratingValue, schema:reviewRating gmeow:mapSchemaClaimReview; confidence 0.85; lossy: the criterion/rubric structure and scale metadata collapse to a bare ratingValue; each review stays authored by its vantage — N competing assessments emit N coexisting ClaimReviews, never one aggregated rating (P9)

Usage Advice

Use when

Avoid when

How to use

Examples