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90 lines
3.6 KiB
90 lines
3.6 KiB
---
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name: score-extremity
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description: Two-dimensional extremity scoring for Dutch parliamentary motions. Use when scoring policy radicalism along stylistic vs material impact dimensions, or when performing LLM-based analysis of motion text extremity.
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---
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# Two-Dimensional Extremity Scoring
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Score Dutch parliamentary motions on TWO independent dimensions:
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1. **Stijl-extremiteit (stylistic extremity, 1–5):** How inflammatory, harsh, or rhetorically charged is the language? 1 = neutral/technical, 5 = openly hostile/discriminatory language.
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2. **Materiele impact (material impact, 1–5):** How much would this policy actually restrict rights, affect specific groups, or reshape institutions if enacted? 1 = procedural/ministerial request, 5 = fundamental rights restriction or institutional dismantling.
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These dimensions are independent. A motion can be:
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- High stylistic, low material: "Alle buitenlanders moeten het land uit!" (inflammatory but legally vacuous)
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- Low stylistic, high material: "Het recht op gezinshereniging wordt beperkt tot kerngezin met inkomenseis van 150% minimumloon" (measured language but concretely restricts rights)
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## Scoring Prompt
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```text
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Beoordeel de volgende motie op TWEE onafhankelijke dimensies:
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MOTIE:
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Titel: {title}
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Tekst: {text}
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Vereenvoudigde uitleg: {layman}
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1) STIJL-EXTREMITEIT (1-5):
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Hoe fel/opruiend/geladen is het taalgebruik? Let op woordkeuze, toon, en retorische middelen.
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1 = neutraal/technisch/ambtelijk, 3 = stellige politieke taal/waardeoordelen, 5 = vijandig/discriminerend/haatdragend taalgebruik.
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2) MATERIELE IMPACT (1-5):
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Hoe ingrijpend is het voorgestelde beleid als het wordt uitgevoerd? Wie wordt geraakt en hoe?
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1 = procedureel/symbolisch/verzoek aan minister, 3 = concrete beleidswijziging met meetbare gevolgen, 5 = fundamentele inperking van rechten/ontmanteling van instituties/grootschalige uitsluiting.
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Geef voor elke dimensie een score van 1-5 en een korte toelichting in het Nederlands.
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```
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## Output Schema
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Return a JSON object with this structure:
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```json
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{
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"stijl_extremiteit": 3,
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"stijl_toelichting": "Gebruikt termen als 'massa-immigratie' en 'tsunami' maar niet direct discriminerend",
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"materiele_impact": 4,
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"materiele_toelichting": "Beperkt recht op gezinshereniging tot kerngezin met verzwaarde inkomenseis"
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}
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```
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Field constraints:
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- `stijl_extremiteit`: integer, 1–5
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- `stijl_toelichting`: string, Dutch, 1–3 sentences
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- `materiele_impact`: integer, 1–5
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- `materiele_toelichting`: string, Dutch, 1–3 sentences
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## Batch Scoring
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When scoring multiple motions at once, return a JSON array:
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```json
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{
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"motions": [
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{
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"motion_id": 123,
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"stijl_extremiteit": 3,
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"stijl_toelichting": "...",
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"materiele_impact": 4,
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"materiele_toelichting": "..."
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}
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]
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}
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```
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## Subagent Workflow
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The orchestrator spawns subagents (deepseek v4 flash) to score motions in batches:
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1. Read this skill file to get the prompt template and schema
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2. Query the stratified sample from `right_wing_motions` JOIN `extremity_scores`
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3. Format batches of 10 motions each
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4. For each batch, spawn a subagent (`task` tool, subagent_type: general) with:
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- This skill's prompt template filled with the 10 motions' text and layman explanations
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- The output schema as the expected return format
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- Instruction to return valid JSON matching the `motions` array schema
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5. Collect results, validate against schema, store in `extremity_scores_2d` table
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6. Compute Pearson r between `stijl_extremiteit` and `materiele_impact`
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Batch dispatch is parallel: all 10 subagents (for 100 motions) can be spawned simultaneously since they have no inter-dependencies.
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