Pausanias Analysis

Connectedness feature reference

Maximum Shared Mythic Figures with One Neighbor

The largest number of mythic figures shared with any single operational neighbour.

Stored model field: max_shared_mythic_figures_with_neighbor

+0.213standardized coefficient
Survivescurrent direction
255observations summarized
Shared figuresfeature group

How It Is Calculated

Count the figure-set intersection for every local neighbour and keep the largest count; use zero when there are no shared figures.

What a higher value means

The focal place has a particularly figure-rich tie to at least one neighbour.

Important qualification. This maximum can be driven by one pair of places and does not describe the rest of the neighbourhood.

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 places2550001158
Survives2040001128
Does not survive510002158

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)825396058Does not survive
🌍 Aigina (city)1019198728Survives
🌍 Syracuse (Sicily)1129578322Survives
🌍 Olympia (Elis)960546316Survives
🌍 Argos (city)822885312Survives
🌍 Opous (Locris)825398912Survives

Examples with low recorded values

PlaceMANTO ID ValuePausanias reports
🌍 Abai (Phocis)102746870Survives
🌍 Abia (Messenia)101135050Survives
🌍 Acacesion (Arcadia)101261850Survives
🌍 Ace (Arcadia)102145170Survives
🌍 Acharnai (Attica)101530560Survives
🌍 Acriai (Laconia)101494180Survives

Interpretation in the Predictive Model

Its current standardized coefficient is +0.213, pointing toward survives. 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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