Pausanias Analysis

Connectedness feature reference

Place Graph Degree

The number of distinct places directly connected to the focal place in the pre-Pausanias MANTO place graph.

Stored model field: place_graph_degree

-0.394standardized coefficient
Does not survivecurrent direction
255observations summarized
Place neighbourhoodfeature group

How It Is Calculated

Build an undirected graph from eligible place-to-place MANTO relationships, add each place's somewhere-in-or-near parent relation, and count the focal node's distinct adjacent place nodes.

What a higher value means

The place has direct narrative or containment links to more places.

Important qualification. Degree counts distinct neighbouring places, not the number of stories or the geographic closeness of those places.

Current Model Cohort

These descriptive statistics use the current labelled cohort after aliases have been collapsed to one row per MANTO place.

GroupN MinimumQ1 MedianMean Q3Maximum
All labelled places2550015689
Survives2040014538
Does not survive510017889

Examples from the Current Data

Examples are descriptive checks on the calculated feature. Their outcome labels report what Pausanias says; they do not establish that the feature caused survival or abandonment.

Examples with high recorded values

PlaceMANTO ID ValuePausanias reports
🌍 Thebes (Boiotia)825396089Does not survive
🌍 Libya (North Africa)825395143Does not survive
🌍 Thessaly905562738Survives
🌍 Arcadia822886337Survives
🌍 Argos (city)822885336Survives
🌍 Boiotia819519633Does not survive

Examples with low recorded values

PlaceMANTO ID ValuePausanias reports
🌍 Acharnai (Attica)101530560Survives
🌍 Acriai (Laconia)101494180Survives
🌍 Agrai (Attica)101515480Survives
🌍 Aigai (Macedonia)113214210Does not survive
🌍 Aigiai (Laconia)101466470Survives
🌍 Aigialeia (alt. Sicyon)101578180Survives

Interpretation in the Predictive Model

Its current standardized coefficient is -0.394, pointing toward does not survive. This means that a one-standard-deviation increase changes the fitted log odds in that direction while the other included features are held fixed.

Because the connectedness features are correlated and the model's out-of-fold performance is weak, this is a conditional associationβ€”not a standalone ranking, causal effect, or historical explanation.

Related Features

Data Scope

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