Pausanias Analysis

Connectedness feature reference

Strong Place Tie Count

The number of large direct neighbours connected by a selected strong place-to-place relationship.

Stored model field: strong_place_tie_count

+0.324standardized coefficient
Survivescurrent direction
255observations summarized
Large-place connectionsfeature group

How It Is Calculated

Among direct neighbours that meet the large-place threshold, count those joined by at least one relation such as founded from, settled from, conquered by, destroyed by, fortified by, belongs to, ruled by, or ruler of.

What a higher value means

The place has strong narrative or political ties to more large places.

Important qualification. The feature uses a curated relation list and counts qualifying neighbouring places, not relation occurrences.

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 places255000008
Survives204000007
Does not survive51000008

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)82539608Does not survive
🌍 Argos (city)82288537Survives
🌍 Arcadia82288634Survives
🌍 Ephesos (Asia Minor)82540203Survives
🌍 Opous (Locris)82539893Survives
🌍 Rome (Italy)102669563Survives

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 +0.324, 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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