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Every active event placed at its UMAP coordinates, colored by cluster. Noise points are greyed out. Cluster centroids are labeled. Hover any dot to read the event.
One block per cluster, ranked by member count. Bars show which domains, types, scopes, and parties are over- or under-represented in this cluster relative to the era as a whole. The five most-central events are the ones the LLM saw when writing the label.
Every event contributes to every tag it carries — an event with two domains shows up in both ribbons. Click any node to filter the flow. The list below shows the actual events in the filtered slice.
How clusters differ across the explicit fingerprint dimensions. Each row is a cluster, each column a feature. For Domänen, Typen and Reichweite, cells show how much more or less that tag appears in this cluster vs the era as a whole — measured in percentage points. So +25 pp means the cluster is 25 percentage points more "foreign_policy" than average; dark cells mean strong over-representation, cool slate means strong under. For Parteien, the cell is the mean party-benefit score within the cluster (range roughly −1 to +1). Read horizontally for what defines a cluster; vertically for what separates clusters.
LLM-written narrative of the previous era, generated on refit. Empty on the first era of a project.