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jev-spam-eval

bitnovus/jev-spam-eval

Zero-shot spam filtering with Jev Noul questions, benchmarked against TF-IDF.

Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Explores zero-shot email classification with TypeSafe's pretrained Jev model, comparing ham/spam/phishing decisions against TF-IDF logistic regression baselines on main, fresh, and recent phishing sets.

How it uses Jev

Jev answers a Choice question selecting one of three categories (legitimate, spam, phishing) from an email state; the returned label and probability distribution are used directly by code. Enriched state adds Reply-To, link destinations, and attachment metadata.

Primitives:choice

Technique worth stealing

Preserve relevant email context (link destinations, Reply-To, attachment metadata) while keeping the question and category definitions unchanged.

Try it

Run experiments/jev-context/evaluate.py with an API key; see REPORT.md for details.

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 material0.89
  • Shows a System One patternnot found in the excerpt0.17
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersFound in material0.94
  • Is a runnable toolnot found in the excerpt0.19
  • Top-10 learning shortlist signalunclear0.56
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.90 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.89Shows a System One pattern0.17Describes handling uncertainty0.06Reports measured numbers0.94Is a runnable tool0.19Top-10 learning shortlist signal0.56Is a replica of the model0.0600.51Solves a common problem (0–2)1.90 / 2012

no-judgment band (0.40–0.60)

Design patterns
Scorecard0.83Check-up0.80Questionnaire0.3700.51

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 20 Sept 2026.