Pausanias Analysis

Connectedness feature reference

Shared Action Pattern Count

The number of distinct canonical action categories shared with at least one operational neighbour through different figures.

Stored model field: shared_action_pattern_count

+0.207standardized coefficient
Survivescurrent direction
255observations summarized
Shared action patternsfeature group

How It Is Calculated

Apply the distinct-figure shared-action rule to every local neighbour, take the union of qualifying canonical action categories, and count them.

What a higher value means

A wider variety of the focal place's action types is echoed elsewhere in its neighbourhood.

Important qualification. Each action category counts once overall even if it is shared with many neighbours.

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 places2550001015
Survives204000109
Does not survive510001015

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)825396015Does not survive
🌍 Argos (city)82288539Survives
🌍 Aigina (city)101919877Survives
🌍 Arcadia82288636Survives
🌍 Opous (Locris)82539896Survives
🌍 Thrace (N. Greece)81956136Survives

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 +0.207, 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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