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* @module analysis-framework/significance-scorer
* @description Political significance scoring for parliamentary documents.
*
* Produces a 1–10 integer score reflecting the document's overall political
* significance. The score is used by:
* - Article focus prioritisation (high-significance documents get more depth)
* - Newsworthiness routing (deep-inspection vs standard vs brief)
* - SWOT and mindmap weighting (critical vs significant vs moderate)
*
* Scoring dimensions (each normalised to 0–10 before weighting):
* 1. Document type tier (weight 0.25)
* 2. Committee tier (weight 0.20)
* 3. Policy domain breadth (weight 0.15)
* 4. Coalition context (weight 0.20)
* 5. Content richness (weight 0.10)
* 6. Perspective impact sum (weight 0.10)
*
* @author Hack23 AB
* @license Apache-2.0
*/
import type { RawDocument, CIAContext } from '../data-transformers/types.js';
import type { PerspectiveAnalysis } from './types.js';
import { detectPolicyDomains, assessConfidenceLevel } from '../data-transformers/policy-analysis.js';
// ---------------------------------------------------------------------------
// Configuration
// ---------------------------------------------------------------------------
/** Document types ranked by parliamentary significance (highest first) */
const DOC_TYPE_SCORES: Readonly<Record<string, number>> = {
prop: 10, // Government proposition
bet: 9, // Committee report
skr: 7, // Government communication
sou: 8, // Swedish Government Official Report
ds: 6, // Departmental series
dir: 5, // Committee directive
mot: 3, // Parliamentary motion
ip: 4, // Interpellation
fr: 2, // Written question
frs: 2, // Response to written question
};
/** Committees ranked by strategic significance (highest first) */
const COMMITTEE_SCORES: Readonly<Record<string, number>> = {
FiU: 10, // Finance
KU: 10, // Constitutional
FöU: 9, // Defence
UU: 9, // Foreign Affairs
JuU: 8, // Justice
SoU: 7, // Social Affairs & Health
SfU: 7, // Social Insurance
AU: 6, // Labour Market
TU: 5, // Transport
MJU: 6, // Environment
UbU: 6, // Education
NU: 5, // Trade & Industry
CU: 5, // Civil Affairs
SkU: 6, // Taxation
};
// ---------------------------------------------------------------------------
// Dimension scorers (each returns 0–10)
// ---------------------------------------------------------------------------
function scoreDocumentType(doc: RawDocument): number {
const type = doc.doktyp || doc.documentType || '';
return DOC_TYPE_SCORES[type] ?? 1;
}
function scoreCommitteeTier(doc: RawDocument): number {
const committee = doc.organ || doc.committee || '';
return COMMITTEE_SCORES[committee] ?? 1;
}
function scorePolicyDomainBreadth(doc: RawDocument, precomputedDomains?: string[]): number {
const domains = precomputedDomains ?? detectPolicyDomains(doc, 'en');
// 1 domain = 3, 2 domains = 5, 3+ = 8, 4+ = 10
if (domains.length === 0) return 1;
if (domains.length === 1) return 3;
if (domains.length === 2) return 5;
if (domains.length === 3) return 8;
return 10;
}
function scoreCoalitionContext(cia: CIAContext | undefined): number {
if (!cia?.coalitionStability) return 5; // Neutral default
const stability = cia.coalitionStability.stabilityScore ?? 100;
const margin = cia.coalitionStability.majorityMargin ?? 10;
let score = 3; // Base
// Instability amplifies significance
Iif (stability < 30) score += 5;
else if (stability < 50) score += 3;
else if (Istability < 70) score += 1;
// Thin majority amplifies significance
Iif (margin <= 1) score += 2;
else if (margin <= 3) score += 1;
return Math.min(10, score);
}
function scoreContentRichness(doc: RawDocument): number {
let score = 1;
if (doc.summary || doc.notis) score += 3;
Iif (doc.fullText || doc.fullContent) score += 4;
Iif (doc.speeches && doc.speeches.length > 0) score += 2;
return Math.min(10, score);
}
function scorePerspectiveImpacts(perspectives: PerspectiveAnalysis[]): number {
if (perspectives.length === 0) return 1;
const impactValues: Readonly<Record<string, number>> = { high: 10, medium: 5, low: 2 };
const total = perspectives.reduce((sum, p) => sum + (impactValues[p.impact] ?? 1), 0);
return Math.min(10, Math.round(total / perspectives.length));
}
// ---------------------------------------------------------------------------
// Public API
// ---------------------------------------------------------------------------
/**
* Compute the overall political significance score (1–10) for a parliamentary document.
*
* Aggregates six weighted dimensions:
* - Document type tier (25%)
* - Committee tier (20%)
* - Policy domain breadth (15%)
* - Coalition context / stability (20%)
* - Content richness (10%)
* - Perspective impact average (10%)
*
* @param doc - The document to score
* @param cia - Optional CIA context for coalition stability
* @param perspectives - Pre-computed perspective analyses (for dimension 6)
* @param precomputedDomains - Optional pre-computed policy domains (avoids redundant detectPolicyDomains call)
* @returns Integer significance score in range [1, 10]
*/
export function computeSignificanceScore(
doc: RawDocument,
cia: CIAContext | undefined,
perspectives: PerspectiveAnalysis[],
precomputedDomains?: string[],
): number {
const dims = [
{ score: scoreDocumentType(doc), weight: 0.25 },
{ score: scoreCommitteeTier(doc), weight: 0.20 },
{ score: scorePolicyDomainBreadth(doc, precomputedDomains), weight: 0.15 },
{ score: scoreCoalitionContext(cia), weight: 0.20 },
{ score: scoreContentRichness(doc), weight: 0.10 },
{ score: scorePerspectiveImpacts(perspectives), weight: 0.10 },
];
const weighted = dims.reduce((sum, d) => sum + d.score * d.weight, 0);
return Math.max(1, Math.min(10, Math.round(weighted)));
}
/**
* Compute a confidence score (0–100) for the overall document analysis.
* Derived from the mean of per-perspective confidence scores, adjusted by
* content richness.
*
* @param doc - The source document
* @param perspectives - Per-perspective analyses
* @returns Overall confidence score (0–100)
*/
export function computeOverallConfidence(
doc: RawDocument,
perspectives: PerspectiveAnalysis[],
): number {
if (perspectives.length === 0) return 20;
const meanPerspectiveConfidence = perspectives.reduce((sum, p) => sum + p.confidence, 0) / perspectives.length;
// Adjust upward slightly for content richness
const evidenceCount = [doc.fullText, doc.fullContent, doc.summary, doc.notis].filter(Boolean).length;
const sourceQuality = doc.speeches && doc.speeches.length > 0 ? 80 : 60;
const confidenceLevel = assessConfidenceLevel(evidenceCount, sourceQuality);
const levelBonus = confidenceLevel === 'HIGH' ? 5 : confidenceLevel === 'MEDIUM' ? 2 : 0;
return Math.min(100, Math.round(meanPerspectiveConfidence + levelBonus));
}
/**
* Extract 3–5 key insights from a set of perspective analyses.
*
* Selects the most impactful summaries across lenses and synthesises
* them into a concise ordered list.
*
* @param perspectives - All six perspective analyses for a document
* @returns Ordered array of 3–5 insight strings
*/
export function extractKeyInsights(perspectives: PerspectiveAnalysis[]): string[] {
// Sort by impact (high first) then confidence
const sorted = [...perspectives].sort((a, b) => {
const impactOrder: Readonly<Record<string, number>> = { high: 3, medium: 2, low: 1 };
const diff = (impactOrder[b.impact] ?? 0) - (impactOrder[a.impact] ?? 0);
return diff !== 0 ? diff : b.confidence - a.confidence;
});
// Take top 5 summaries, ensuring each adds new information
const insights: string[] = [];
for (const p of sorted) {
if (insights.length >= 5) break;
Eif (p.summary && p.summary.length > 20) {
insights.push(`[${p.lens.toUpperCase()}] ${p.summary.slice(0, 120).trim()}`);
}
}
return insights.slice(0, 5);
}
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