Athenian Vases and Heroes out of Context: Discovering what Theseus is doing in Etruria

S. O’Donovan
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Abstract

Athenian figured vases have long been used as cultural informants for the Athenian society that manufactured them, rather than about the Etruscan cities in which they are predominantly found. For this practice to be valid, these vases need to comprise a single homogenous population of artifacts whose attributes are the same regardless of the find-spots from which they were recovered. Regional variation of attributes, especially those that are culturally specific to those regions, would indicate that local cultural preferences influenced the manufacture and import of these artifacts, challenging their use as Athenian informants. Applying machine learning data mining techniques to the Athenian red-figure vases (“ARF”) listed in the Beazley Archive Online Pottery Database (“BAPD”) resulted in the identification of hundreds of relationships between vase images, shapes, and their find-spots. Quantifying these differences via chi squared testing for independence and homogeneity revealed that numerous geographically specific subpopulations can be identified on the basis of these attributes. Of these, I selected the dominance of the Athenian hero Theseus on ARF from Etruria as a case study to demonstrate the utility of data mining supported by statistical ana-
脱离语境的雅典花瓶和英雄:发现忒修斯在伊特鲁里亚做了什么
长期以来,雅典人偶花瓶一直被用作制造它们的雅典社会的文化信息,而不是主要发现它们的伊特鲁里亚城市的文化信息。为了使这一实践有效,这些花瓶需要包含单一的同类工件,其属性是相同的,而不管它们是从哪里被发现的。属性的地区差异,特别是那些特定于这些地区的文化特征,表明当地的文化偏好影响了这些文物的制造和进口,挑战了它们作为雅典线人的用途。将机器学习数据挖掘技术应用于比兹利在线陶器数据库(“BAPD”)中列出的雅典红图花瓶(“ARF”),结果发现了花瓶图像、形状和它们的发现点之间的数百种关系。通过独立性和同质性的卡方检验对这些差异进行量化,发现可以根据这些属性识别出许多地理上特定的亚种群。其中,我选择了来自伊特鲁利亚的雅典英雄忒修斯在ARF上的统治地位作为案例研究,以展示统计分析支持的数据挖掘的实用性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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