Benchmark Lab
Emotional Valence Benchmark
Emotion should behave like a coordinate system, not a single adjective. This benchmark combines valence, narrative journey, dominant emotional mechanism, and danceability so the emotional layer feels legible and institution-grade.
Signal definition
Dimension: Emotion
Focus: Valence-arousal field
Benchmark scope: Journey type, emotional field, and mechanism bias
Benchmark readout
The public readout for this benchmark.
This page documents the method; results are not yet published. Once measured, the readout will track the following dimensions so researchers, creators, and operators can inspect the same signal from multiple angles.
Methodology
How this benchmark is assembled.
Step 01
Emotional valence comes from the creative DNA layer while journey type comes from the narrative model.
Step 02
Dominant mechanism translates the BRECVEMA-style emotional logic into readable language.
Step 03
Danceability is used as a secondary axis to distinguish introspective and kinetic emotion profiles.
Step 04
The final field label is intentionally simple enough for observatory and publication use.
Related guides
Interpretation, creator guidance, and release context.
Each guide below uses the same benchmark from a different angle so readers can move from evidence to practical decisions without leaving the research trail behind.
Interpretation
Translate the raw benchmark page into a clear decision frame and know what to inspect first.
Open guideCreator Guide
Turn the benchmark into practical moves for writing, arrangement, production, and mix decisions.
Open guideResearch Brief
Place the benchmark inside the citation chain, the corpus logic, and the broader observatory system.
Open guideRelease Strategy
Use the benchmark as a release and programming lens, not just a descriptive metric.
Open guideNext move
Run this same layer on your own track.
Public benchmarks establish the reference frame. MusicMind applies the same logic to a specific song.