Country Matrix Scoring Methodology
The Country Matrix pipeline translates raw country metrics into five factor scores, a composite ranking, and bloc-level aggregation. This page summarizes the implemented scoring rules used by the generated Quartz content.
Five Factors
- Food
- Energy
- Technology
- Demographics
- Security
Scoring Flow
- Continuous metrics are normalized onto a 0-100 scale using piecewise anchors, with log1p and winsorization applied where the score spec calls for them.
- Weighted factor scores combine dominant, primary, and supplementary metrics while preserving missing-data confidence states.
- Continuous factor scores are mapped into 1-5 display bins with hysteresis so small changes do not cause constant label churn.
- Country composites use the geometric mean of the five display scores. This penalizes imbalance and surfaces the weakest factor directly.
- Bloc summaries aggregate member display scores and identify strong, weak, and uneven factor distributions.
Current Coverage Snapshot
- Countries with full composite coverage: 142
- Countries with partial or missing composite coverage: 53
| Factor | Countries With Score |
|---|---|
| Food | 193 |
| Energy | 143 |
| Technology | 191 |
| Demographics | 195 |
| Security | 195 |
Limitations
- Countries with incomplete five-factor coverage are excluded from the overall composite ranking.
- Promoted Phase 1 countries without a published country page still contribute to scoring and bloc aggregation, but they are not linked as Quartz leaves yet.
- Bloc comparisons currently inherit the Phase 1 bloc dataset and should be read as a structural baseline, not a final geopolitical taxonomy.