Automated README summary
Automatically summarized from the README on 25 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
jcol is a CLI and Python API that applies natural-language codebooks to tables, turning each definition into a column of judgments from Jev. It is for analysts coding text data with resumable runs, exports, and label evaluation.
How it uses Jev
Each codebook definition is sent to Jev as a question over the row's declared inputs. Jev returns a value and confidence per variable, written as output columns; binary gives a probability, category a chosen label, scale a numeric position.
Primitives:choicescore
Technique worth stealing
Checkpoint successful cells in a SQLite project so rerunning the same command resumes only missing cells.
Try it
uv tool install jev-col, then jcol run data.parquet --codebook codebook.json -o coded.parquet
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 material0.89
- Shows a System One patternFound in material0.61
- Describes handling uncertaintynot found in the excerpt0.05
- Reports measured numbersnot found in the excerpt0.05
- Is a runnable toolFound in material0.96
- Top-10 learning shortlist signalunclear0.41
- Is a replica of the modelnot found in the excerpt0.05
- Solves a common problem (0–2)score on a 0–2 scale1.24 / 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 25 Sept 2026.