Jev glossary
PatternsScore normalization
Normalization
Scaling each Score by its number of levels (dividing by len(criteria) - 1) before weighting it in a composite.
- Category
- Patterns
- Also known as
- Score normalization
- Reading time
- 1 min
- Related terms
- 3
- Directory entries
- 2
- Docs
- docs.typesafe.ai
- Added
- 2026-09-24
Definition
Scores from different rubrics are not directly comparable: a 1.43 on a three-level scale and a 3.5 on a five-level scale mean different things. Composite scoring normalizes each by its top level so weights represent relative importance rather than rubric size.
The arithmetic stays in code. Jev's Score levels are weak at numeric calibration, so normalization is a bookkeeping step, not a correction for a measured magnitude.
Tagspatternsscoreevaluation
Related terms
Definitions that connect to this one.
Composite scoringBreak a judgment into atomic Score questions, normalize each, and combine them with weights you control in code.PatternsWeighted scoreThe Score answer computed as each level number times its probability, which is why a score can land between two levels.Answers & ConfidenceScore levelOne entry in a Score's ordered criteria list; levels are numbered by array position from 0 and judged independently.Primitives
From the Jev directory
Directory entries that go deeper on this term.
Break a judgment into atomic Score questions, normalize each by its top level, and combine them with weights you control in code, as in the resume example's four scored dimensions.
Jev Practices & PatternsDocs#official#patterns#score
Official
Regex finds candidate emails, phone numbers, and amounts; Jev picks the requested span so code copies a verbatim value that cannot be invented, with no free-text extraction required.
Jev CookbooksDocs#official#cookbook#extraction
Official
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