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Profiling Maternal Behavior Responses During Whole-Brain Imaging

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A test of the (hu)MANid analytical program using a native American population.

Jordan K Karsten¹, Hayley J Hintz¹

¹Department of Anthropology, Global Religions, and Cultures, The University of Wisconsin-Oshkosh, Oshkosh, Wisconsin, USA.

American Journal of Biological Anthropology

|July 6, 2023

Summary

The (hu)MANid software accurately classifies Native American mandibles. This study validated its effectiveness for forensic anthropology and NAGPRA compliance.

Keywords:

(hu)MANid NAGPRA ancestry biological anthropology mandible

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Area of Science:

Forensic Anthropology
Bioarchaeology
Human Osteology

Background:

The (hu)MANid software classifies mandibles by ancestry and sex using discriminant analysis.
Replicability of its metric and morphoscopic variables is established, but external validation is limited.

Purpose of the Study:

To test the accuracy of the (hu)MANid software for identifying Native American mandibles.
To assess the software's utility in forensic and bioarchaeological contexts.

Main Methods:

An independent sample of 52 Native American mandibles from the Great Lakes region was analyzed.
Mandibles were processed using both linear discriminant analysis (LDA) and mixture discriminant analysis (MDA) within the (hu)MANid software.

Main Results:

Linear discriminant analysis correctly classified 82.7% of mandibles as Native American.
Mixture discriminant analysis correctly classified 67.3% of mandibles as Native American.
The difference in classification accuracy between LDA and MDA was not statistically significant.

Conclusions:

The (hu)MANid software demonstrates significant accuracy in identifying Native American skeletal remains.
This tool is valuable for anthropologists in forensic investigations, biological profiling, and NAGPRA-related work.