Pausanias Analysis

Connectedness feature reference

Exclusive Figure Count

The number of the focal place's mythic figures that occur at no other place in the imported pre-Pausanias network.

Stored model field: exclusive_figure_count

+0.695standardized coefficient
Survivescurrent direction
255observations summarized
Figures and their reachfeature group

How It Is Calculated

Count how many distinct figures attached to the focal place have a global place-association count of exactly one.

What a higher value means

The place has more figures unique to it within the imported network.

Important qualification. β€œExclusive” is relative to the current MANTO release and source-date filter; missing evidence can make a figure appear more local.

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 places2550001069
Survives2040001069
Does not survive510000016

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
🌍 Thessaly905562769Survives
🌍 Thebes (Boiotia)825396016Does not survive
🌍 Pylos (Messenia)822886014Survives
🌍 Olympia (Elis)96054637Survives
🌍 Rome (Italy)102669566Survives
🌍 Sicyon (Argolid)81945326Survives

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 +0.695, 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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