Pausanias Analysis

Connectedness feature reference

Local Place Neighbor Count

The number of distinct operational neighbours assigned to the focal place.

Stored model field: local_place_neighbor_count

-0.583standardized coefficient
Does not survivecurrent direction
255observations summarized
Place neighbourhoodfeature group

How It Is Calculated

Take the union of direct place-graph neighbours and places sharing the same MANTO parent locality; include the parent itself when it is a place node, then remove the focal place.

What a higher value means

The place sits in a larger MANTO narrative or locality neighbourhood.

Important qualification. β€œLocal” is an operational graph term. It combines MANTO relations and containment structure; it does not mean within a fixed geographic distance.

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 places2550015789
Survives2040015638
Does not survive5100391289

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 -0.583, 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

Return to all 41 features Β· Return to the predictive model