Constitutional Map

World Map

Select constitutional systems on the map.

Click any country with data to load its semantic points. Drag to pan and use the zoom controls for regional comparisons.

No countries selectedHover a country to see its availability.

Search the full constitutional corpus.

Select one or more countries to restrict the search.

Run a search to see ranked article matches.

Control Panel

Build comparison sets quickly.

Presets are additive. The country list can be filtered by name and re-ordered for broad or focused exploration.

Selected

Countries

193

Clusters

528

Presets

No countries selected yet.

3D Semantic Space

Navigate the semantic cluster field.

0 visible points from 0 loaded segments.

Select one or more countries to render their constitutional segments in 3D.

Click a point in the 3D view to inspect the full constitutional article here.

Country Stats

Semantic coverage by selected country.

Select countries on the map or from the control panel to inspect their metrics.

How to read the visualization

What You Are Seeing

Each point in the 3D view represents one constitutional segment, usually an article or another meaningful legal unit. Nearby points are not nearby because they come from the same country, but because the language of those passages is semantically similar.

The map and the country list are selection tools. They decide which constitutions are loaded into the scene. Selecting more countries does not change the geometry of the embedding itself; it changes which parts of that global semantic space you can inspect.

Semantic Space

The embedding turns legal text into vectors, and the clustering step groups vectors that tend to discuss related constitutional themes. In country mode, color shows political origin. In cluster mode, color shows thematic neighborhood.

Large, dense clouds usually indicate recurring constitutional ideas such as rights, institutions, emergency powers, elections, or amendment rules. Isolated points often mark unusual provisions, rare wording, or country-specific constitutional design choices.

Use search when you already have a concept in mind, and use country selection when you want to compare how different countries occupy the same semantic terrain. The most useful reading strategy is to move back and forth between map, cluster shape, and article detail.

How to Read the Metrics

In the country statistics, Coverage measures how much of the global cluster landscape a constitution reaches. Entropy measures how evenly its segments are distributed across that landscape: high entropy suggests a broader semantic spread, while low entropy suggests concentration in fewer themes.

In the article detail panel, Global Cluster is the identifier of the thematic group assigned to that segment in the worldwide clustering. When the value is -1, it means the segment was left outside the defined thematic groupings in that global step. Probability indicates how confidently the clustering model placed that segment in that group: higher values mean a cleaner fit, while lower values usually mark more ambiguous or boundary cases.