Pausanias Analysis

Connectedness feature reference

Shared-Action Large-Place Neighbor Count

The number of large operational neighbours sharing at least one qualifying canonical action pattern with the focal place.

Stored model field: shared_action_large_place_neighbor_count

-0.531standardized coefficient
Does not survivecurrent direction
255observations summarized
Shared action patternsfeature group

How It Is Calculated

Count local neighbours that meet the large-place threshold and pass the distinct-figure shared-action rule for at least one action category.

What a higher value means

The place shares action types with more network-prominent neighbours.

Important qualification. The feature combines two constructed thresholds: large-place status and the distinct-figure shared-action rule.

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 places2550001024
Survives2040000010
Does not survive510001024

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)825396024Does not survive
🌍 Argos (city)822885310Survives
🌍 Aigina (island)95875976Survives
🌍 Opous (Locris)82539896Survives
🌍 Aigina (city)101919875Survives
🌍 Libya (North Africa)82539515Does not survive

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 -0.531, 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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