 Sven Geboers
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d2310edfc4
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feat(right-wing): LLM-based policy extremity scoring
Implements U4: extremity_scorer.py uses ai_provider.chat_completion_json_parallel
with a JSON schema enforcing integer 1-5 + Dutch explanation.
Design:
- Batch size 10, max_workers 5 for parallel API calls
- Prompt asks for concrete policy + radicalism score in Dutch
- Stores results in table (motion_id, score, explanation, error)
- Updates with yearly averages
- Default sample=50 for validation; --sample -1 scores all motions
Sample validation (50 motions): scores distributed 1→2, 2→34, 3→7, 4→7,
yearly averages ~2.0-2.5 (mild-to-moderate radicalism).
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2 months ago |
