assessment score value
- CURIE:
gmeow:assessmentScoreValue - IRI: https://blackcatinformatics.ca/gmeow/assessmentScoreValue
- Category: property
- Defined by:
gmeow:slices/norms - Box roles: RBox role (What is this?)
The numeric score, on the scale the criterion or rubric declares. Functional and mandatory (SHACL). A datatype twin of observationResult (which is entity-valued — the claimModality pattern); zeros are scores, never absences (false positives are worse than zeros).
Structure
Property shape: datatype property; gmeow:Assessment -> xsd:decimal; functional
Practical Pattern
Use gmeow:assessmentScoreValue from gmeow:Assessment to xsd:decimal when the relationship itself belongs in the native GMEOW graph.
Common Companion Terms
Projects To
| Profile | External Targets |
|---|---|
schema-org |
rdf, schema |
External Equivalences
Equivalent or closely aligned targets: schema
Linkages
Generated from the canonical mapping DSL. SSSOM files are the generated public interchange form for term equivalences.
Term Equivalences
| Source | Kind | Profile | Predicate/Relation | Target | Evidence |
|---|---|---|---|---|---|
gmeow:assessmentScoreValue |
equivalence | - |
skos:closeMatch | schema:ratingValue | gmeow-norms.sssom.tsv; gmeow:eqNorms002; confidence 0.85 |
Projection Coverage
| Source | Kind | Profile | Predicate/Relation | Target | Evidence |
|---|---|---|---|---|---|
gmeow:assessmentScoreValue |
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
- Use to carry an
Assessment's numeric score on the scale its criterion or rubric declares.
Avoid when
- Avoid omitting it or giving more than one (it is functional and mandatory) and avoid dropping a zero — a zero is a score, never an absence (false positives are worse than zeros).
How to use
- Assert
gmeow:assessmentScoreValueonce per assessment as a decimal on the declaredgmeow:ScoreScale; it is the datatype twin ofobservationResultunder theclaimModalitypattern.
Examples
- ex:as1
gmeow:assessmentScoreValue0.9.