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PolicyJEV

AbbasRana001/PolicyJEV · Homepage

Zero-shot JEV vs trained baselines on Jigsaw toxic-comment classification.

Content Moderation0.96Runner-up: Evaluation & BenchmarkingTraffic lightScorecardCheck-up
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 frozen-protocol comparison of zero-shot TypeSafe JEV against TF-IDF logistic regression and fine-tuned DistilBERT on Jigsaw toxic-comment classification, then a test of a three-way moderation policy (allow, review, action) driven by the resulting probabilities.

How it uses Jev

JEV scores each of six labels from natural-language question sets, returning probabilities with no training data. Question set v2 was chosen on validation AP. Its probabilities are isotonic-calibrated on validation, then thresholds fitted on validation map each comment to allow, review or action.

Primitives:score

Technique worth stealing

Freeze protocol, question set, calibrators and thresholds before any test scoring, then score test once.

View on GitHub

Start using Jev: API key and your first request →

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 material0.74
  • Shows a System One patternunclear0.50
  • Describes handling uncertaintyunclear0.40
  • Reports measured numbersnot found in the excerpt0.15
  • Is a runnable toolnot found in the excerpt0.11
  • Top-10 learning shortlist signalunclear0.41
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.92 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.74Shows a System One pattern0.50Describes handling uncertainty0.40Reports measured numbers0.15Is a runnable tool0.11Top-10 learning shortlist signal0.41Is a replica of the model0.0600.51Solves a common problem (0–2)1.92 / 2012

no-judgment band (0.40–0.60)

Design patterns
Traffic light0.99Scorecard0.83Check-up0.78Funnel0.53Thermostat0.40Viewfinder0.27Question bank0.2400.51

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.