SKC Metrics
SKC evaluates compression together with reconstruction and semantic preservation.
The current validation vocabulary includes the following metrics.
BlueprintSize
Section titled “BlueprintSize”Size of the reference representation before semantic-core reduction.
BlueprintSizeThis establishes the baseline against which reduction can be measured.
SemanticCoreSize
Section titled “SemanticCoreSize”Size of the reduced semantic representation.
SemanticCoreSizeReductionRatio
Section titled “ReductionRatio”Measures the fraction removed from the original representation.
Conceptually:
ReductionRatio =1 - (SemanticCoreSize / BlueprintSize)CompressionRatio
Section titled “CompressionRatio”Expresses the relationship between original and reduced representation.
Conceptually:
CompressionRatio =BlueprintSize / SemanticCoreSizeReconstructionFidelity
Section titled “ReconstructionFidelity”Measures how successfully required semantic structure survives reconstruction.
A high compression ratio without sufficient reconstruction fidelity is not a successful SKC result.
GraphEquivalence
Section titled “GraphEquivalence”Reports whether the reconstructed semantic graph satisfies the declared equivalence contract.
SemanticEntropy
Section titled “SemanticEntropy”A research metric for characterizing information density or semantic complexity within the representation.
Its precise interpretation must remain tied to the SKC version and metric definition used by the experiment.
Deterministic
Section titled “Deterministic”Indicates whether repeated processing under the same defined inputs and environmental contract produces equivalent results.
Metric set
Section titled “Metric set”A useful SKC validation result therefore looks conceptually like:
{ "BlueprintSize": 0, "SemanticCoreSize": 0, "ReductionRatio": 0.0, "CompressionRatio": 0.0, "ReconstructionFidelity": 0.0, "GraphEquivalence": false, "SemanticEntropy": 0.0, "Deterministic": false}The values above are intentionally placeholders, not benchmark claims.
Principle
Section titled “Principle”Compression is only meaningful when preservation is measured.
Continue with Examples →.