Pausanias Analysis

Connectedness feature reference

Action Pattern Count

The number of distinct canonical action categories represented among the focal place's figure relationships.

Stored model field: action_pattern_count

+0.714standardized coefficient
Survivescurrent direction
255observations summarized
Action profilesfeature group

How It Is Calculated

Map eligible MANTO relations to categories such as foundation, burial, cult site, rule, destruction, games, or settlement, then count the distinct categories present.

What a higher value means

The place participates in a more varied set of mythic action types.

Important qualification. Multiple relations mapped to the same canonical action count once, so this measures variety rather than volume.

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 places2550001118
Survives2040001110
Does not survive510001118

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)825396018Does not survive
🌍 Argos (city)822885310Survives
🌍 Aigina (city)101919879Survives
🌍 Syracuse (Sicily)112957838Survives
🌍 Arcadia82288636Survives
🌍 Opous (Locris)82539896Survives

Examples with low recorded values

PlaceMANTO ID ValuePausanias reports
🌍 Abai (Phocis)102746870Survives
🌍 Abia (Messenia)101135050Survives
🌍 Acacesion (Arcadia)101261850Survives
🌍 Ace (Arcadia)102145170Survives
🌍 Acharnai (Attica)101530560Survives
🌍 Aegina (Epidauria)113081850Survives

Interpretation in the Predictive Model

Its current standardized coefficient is +0.714, 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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