Pausanias Analysis

Connectedness feature reference

Shared-Figure Large-Place Neighbor Count

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

Stored model field: shared_mythic_figure_large_place_neighbor_count

+0.852standardized coefficient
Survivescurrent direction
255observations summarized
Shared figuresfeature group

How It Is Calculated

Count local neighbours that both meet the large-place threshold and have a non-empty figure-set intersection with the focal place.

What a higher value means

The place shares figures with more network-prominent neighbours.

Important qualification. The result depends on both the operational-neighbour definition and the release-specific large-place threshold.

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 places2550001030
Survives2040001017
Does not survive510001030

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)825396030Does not survive
🌍 Coroneia (Thessaly)1130738017Survives
🌍 Delphi (Phocis)825397211Survives
🌍 Argos (city)822885310Survives
🌍 Aigina (island)95875978Survives
🌍 Opous (Locris)82539897Survives

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 +0.852, 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

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