jev-orderby-bench
Does ORDER BY over a Jev probability put rows in a defensible order? Independent ranking, calibration and invariant measurements of TypeSafe AI's Jev: passes six pre-registered gates on 360 labeled rows, fails four of six on graded product relevance.
- GitHub stars
- 0 as of 2026-09-22
- Forks
- 1
- Language
- Python
- License
- MIT
- Created
- 2026-09-19
- Last updated on GitHub
- 2026-09-20
- Added to AionEdge
- 2026-09-22

What Jev does in jev-orderby-bench
The project describes itself this way: Does ORDER BY over a Jev probability put rows in a defensible order? Independent ranking, calibration and invariant measurements of TypeSafe AI's Jev: passes six pre-registered gates on 360 labeled rows, fails four of six on graded product relevance. In the Benchmarks & research category, Jev typically decides labels and probabilities on fixed test sets, so accuracy, calibration and latency can be measured.
Verification
Verified. We confirmed this repository and its Jev relevance through the GitHub API and the source lists below. A specific file link has not been recorded yet.
Topics
- benchmark
- calibration
- duckdb
- information-retrieval
- jev
- llm-evaluation
- python
- ranking
- reproducible-research
- typesafe
How Benchmarks & research projects use Jev
Benchmarks and research projects test Jev rather than just use it. They compare it with language models and other classifiers, check whether its probabilities are well calibrated, and explore where the decision-model approach breaks down.
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Python