Automated README summary
Automatically summarized from the README on 28 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
tab-jev combines a Jev-like model that turns text into typed judgments with a tabular foundation model that learns from labeled rows in context. It is for classification problems where text and table each carry signal and labels are few.
How it uses Jev
Jev answers a target Noul question and optional Score rubric questions about text columns. Each option's probability becomes a numeric column next to the row's tabular fields. A tabular model then predicts from these columns plus labels, and the result is returned in Jev's format.
Primitives:noulscore
Technique worth stealing
Turn Jev's per-option probabilities into numeric columns, then let a tabular foundation model learn from labeled rows in context.
Try it
pip install tab-jev; use jev_then_tab with JevHTTP and a scikit-learn style classifier such as TabPFNClassifier.
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.13.0- Project signals
jev-1.13.0- Category
jev-1.13.0- Pattern tags
jev-1.13.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectFound in material0.68
- Shows a System One patternunclear0.44
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersFound in material0.71
- Is a runnable toolFound in material0.78
- Top-10 learning shortlist signalunclear0.47
- Is a replica of the modelnot found in the excerpt0.13
- Solves a common problem (0–2)score on a 0–2 scale1.12 / 2
- About JevFound in material0.98
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 28 Sept 2026.