Pausanias Analysis

Connectedness feature reference

Has a Large-Place Neighbor

A yes/no indicator showing whether the focal place has at least one operational neighbour classified as a large network place.

Stored model field: has_large_place_neighbor

+0.330standardized coefficient
Survivescurrent direction
255observations summarized
Large-place connectionsfeature group

How It Is Calculated

Set the feature to yes when large-place neighbor count is greater than zero; otherwise set it to no.

What a higher value means

A value of one means at least one large-place connection is present.

Important qualification. This discards the number and strength of large-place connections; the companion count and maximum features retain that detail.

Current Model Cohort

These descriptive statistics use the current labelled cohort after aliases have been collapsed to one row per MANTO place.

GroupN NoYes Share yes
All labelled places25514311243.9%
Survives2041178742.6%
Does not survive51262549.0%

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 where the feature is present

PlaceMANTO ID ValuePausanias reports
🌍 Abai (Phocis)10274687YesSurvives
🌍 Acacesion (Arcadia)10126185YesSurvives
🌍 Aigai (Achaia)10274676YesDoes not survive
🌍 Aigai (unlocatable)9882469YesDoes not survive
🌍 Aigeira (Achaia)10274694YesSurvives
🌍 Aigina (city)10191987YesSurvives

Examples where the feature is absent

PlaceMANTO ID ValuePausanias reports
🌍 Abia (Messenia)10113505NoSurvives
🌍 Ace (Arcadia)10214517NoSurvives
🌍 Acharnai (Attica)10153056NoSurvives
🌍 Acriai (Laconia)10149418NoSurvives
🌍 Aegina (Epidauria)11308185NoSurvives
🌍 Agrai (Attica)10151548NoSurvives

Interpretation in the Predictive Model

Its current standardized coefficient is +0.330, 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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