A Boat Is a Boat Is a Boat…Unless It Is a Horse – Rethinking the Role of Typology
نویسندگان
چکیده
Abstract Today, it is widely accepted that typology a biased and inconsistent attempt to classify archaeological material based on the similarity of predefined set features. In this respect, machine learning (ML) works similar typology. ML approaches are often deployed because thought they reduce biases. However, biases introduced into process at many points, e.g., feature selection. project applying Scandinavian rock art data, was noticed algorithm struggles with classifying certain motifs correctly. This contribution discusses consistency in by contrast inconsistency human classification. It argued necessary bring machines humans meaningful dialogue attempting understand why apparent “misclassifications” happen. important inform us about classification output, our biases, which themself inconsistent, ambiguous, outcomes creativity. The component not everything looks has meaning.
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ژورنال
عنوان ژورنال: Open Archaeology
سال: 2022
ISSN: ['2300-6560']
DOI: https://doi.org/10.1515/opar-2022-0277