Automated README summary
Automatically summarized from the README on 17 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A head-to-head benchmark of four text classification approaches on 10,000 Jigsaw toxic comments (8,000 train / 2,000 validation): a custom PyTorch MLP, pure k-NN (K=7), Jev zero-shot, and fine-tuned BERT.
How it uses Jev
Jev (System One, jev-1.13.0) performs zero-shot classification using six Noul questions per comment. The README does not describe the state passed to Jev or how its returned probabilities are consumed in code beyond producing predictions compared against the other models.
Primitives:noul
Technique worth stealing
Zero-shot classification with six Noul questions per comment, compared against trained MLP, k-NN, and BERT baselines.
Try it
Clone, set up a uv venv, run charts.py and src/compare_results.py on cached results; restore data via scripts/restore_data.sh.
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 projectnot found in the excerpt0.21
- Shows a System One patternFound in material0.63
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersnot found in the excerpt0.13
- Is a runnable toolnot found in the excerpt0.06
- Top-10 learning shortlist signalnot found in the excerpt0.38
- Is a replica of the modelnot found in the excerpt0.07
- Solves a common problem (0–2)score on a 0–2 scale1.59 / 2
- About JevFound in material0.97
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 17 Oct 2026.