When unidentified skeletal remains are found, researchers utilize a number of
methods to apportion details for a biological profile. While these practices are used and
professed through generations of students, they also require a reevaluation of the methods.
This project estimates the ancestry and sex of nine unknown skeletal individuals through
two different mechanisms. Modified biological profiles were completed through two
different methodologies: anthroscopic traits (Buikstra and Ubelaker 1994; White et al.
2012) and geometric morphometrics using 3D-ID (Slice and Ross 2009). The results
serve two purposes: (1) to provide ancestry and sex (2) to compare two methodologies
through outcomes and repeatability of results. Intra-observer error testing was conducted
on both methods. All outputs resulted in low intra-rater reliability, highlighting the
repeatability error in one observer’s collection methods. These results conclude and
encourage the reevaluation and standardization of the procedures and comparison groups
used to assess ancestry and sex. / Includes bibliography. / Thesis (M.A.)--Florida Atlantic University, 2017. / FAU Electronic Theses and Dissertations Collection
| Identifer | oai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_39804 |
| Contributors | Thomas, Alexandra N. (author), Ellis, Meredith (Thesis advisor), Florida Atlantic University (Degree grantor), Dorothy F. Schmidt College of Arts and Letters, Department of Anthropology |
| Publisher | Florida Atlantic University |
| Source Sets | Florida Atlantic University |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation, Text |
| Format | 120 p., application/pdf |
| Rights | Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder., http://rightsstatements.org/vocab/InC/1.0/ |
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