Pausanias Analysis

Connectedness feature reference

Shared-Mythic-Figure Neighbor Count

The number of operational neighbours that share at least one mythic figure with the focal place.

Stored model field: shared_mythic_figure_neighbor_count

+1.040standardized coefficient
Survivescurrent direction
255observations summarized
Shared figuresfeature group

How It Is Calculated

For each local neighbour, intersect its distinct person set with the focal place's person set and count the neighbour once when the intersection is non-empty.

What a higher value means

The place shares figures with more members of its neighbourhood.

Important qualification. A neighbour counts once whether it shares one figure or many; companion features capture the number of figures.

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 places2550002181
Survives2040002123
Does not survive510002181

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)825396081Does not survive
🌍 Argos (city)822885323Survives
🌍 Coroneia (Thessaly)1130738018Survives
🌍 Pherai (Thessaly)822889217Survives
🌍 Aigina (island)958759716Survives
🌍 Thessaly905562715Survives

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 +1.040, 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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