Can bony labyrinth dimensions predict biological sex in archaeological samples?
| Autor: | Jay T. Stock, Mary T. Silcox, Emma Pomeroy, T. Bence Viola, Lauren Schroeder, Devin L Ward |
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| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Archeology Multivariate statistics 060101 anthropology Biological anthropology 06 humanities and the arts Biology Biological sex 010603 evolutionary biology 01 natural sciences Archaeology Sexual dimorphism Bony labyrinth medicine.anatomical_structure McNemar's test Discriminant function analysis Consistency (statistics) medicine 0601 history and archaeology |
| Zdroj: | Journal of Archaeological Science: Reports. 31:102354 |
| ISSN: | 2352-409X |
| Popis: | Osipov and colleagues [American Journal of Physical Anthropology, 2(151) 2013] previously posited that the dimensions of the bony labyrinth exhibit sexual dimorphism. Using a recent sample of known sex, they produced an age-independent, multivariate equation to predict biological sex using several of these dimensions. We aim to test the applicability of this equation to archaeological samples, where the method could prove useful with poorly preserved remains. Using µCT data, we collected a standard set of linear dimensions from the bony labyrinth in two groups from the ancient Nile Valley that show body size differences associated with diet and disease. We determined the biological sex of these individuals using established skeletal features and with Osipov and colleagues’ (2013) equation. Results of each were compared with McNemar tests, and raw measurements were examined within each group for dimorphism with a Discriminant Function Analysis. Biological sex predicted by labyrinthine dimensions overidentified individuals from both groups as female. Adjustments to the equation constant balanced predicted sex numbers and increased consistency both on an individual level (31.3% to 67.4%) and model level (χ2 |
| Databáze: | OpenAIRE |
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