Pausanias Analysis

Connectedness feature reference

Attestation Span in Years

The number of years between the earliest and latest eligible dated MANTO relationships involving the focal place.

Stored model field: attestation_span_years

-0.167standardized coefficient
Does not survivecurrent direction
255observations summarized
Temporal evidencefeature group

How It Is Calculated

Subtract earliest_attestation_year from latest_attestation_year for places with dated evidence; use zero for an unattested place.

What a higher value means

The imported evidence for the place spans a longer period.

Important qualification. A zero can mean either one dated point or no dated evidence, so it must be read with the earliest and latest features.

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 places255000190479779
Survives204000190479779
Does not survive51000192389779

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
🌍 Aigina (city)10191987779Survives
🌍 Anthedon (Boiotia)9651961779Survives
🌍 Arcadia8228863779Survives
🌍 Argos (city)8228853779Survives
🌍 Calydon (Aitolia)8254028779Survives
🌍 Copai (Boiotia)9651950779Survives

Examples with low recorded values

PlaceMANTO ID ValuePausanias reports
🌍 Abia (Messenia)101135050Survives
🌍 Acacesion (Arcadia)101261850Survives
🌍 Ace (Arcadia)102145170Survives
🌍 Acharnai (Attica)101530560Survives
🌍 Acriai (Laconia)101494180Survives
🌍 Aegina (Epidauria)113081850Survives

Interpretation in the Predictive Model

Its current standardized coefficient is -0.167, pointing toward does not survive. 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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