• Find People
  • Campus Map
  • PiratePort
  • A-Z
    • About
    • Submit
    • Browse
    • Login
    View Item 
    •   ScholarShip Home
    • Dissertations and Theses
    • Master's Theses
    • View Item
    •   ScholarShip Home
    • Dissertations and Theses
    • Master's Theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of The ScholarShipCommunities & CollectionsDateAuthorsTitlesSubjectsTypeDate SubmittedThis CollectionDateAuthorsTitlesSubjectsTypeDate Submitted

    My Account

    Login

    Statistics

    View Google Analytics Statistics

    USING DENTAL METRIC ANALYSIS TO UNDERSTAND PREHISTORIC POPULATION VARIABILITY ON THE NORTH CAROLINA COASTAL PLAIN

    Thumbnail
    View/ Open
    WEIDNER-MASTERSTHESIS-2018.pdf (3.647Mb)

    Show full item record
    Author
    Weidner, Kara D
    Abstract
    Biodistance studies can quantify intra- and inter- population relatedness through non-metric and metric skeletal variables. In this study, dental metric traits of two linguistically distinct Late Woodland (AD 800-1650) populations, the Algonquian and Tuscarora-speaking groups within the North Carolina coastal regions, were assessed to determine if presumed linguistic barriers led to a reduced gene flow. Previous research by Kakaliouras (2003) and Killgrove (2002) using cranial and dental non-metric traits identified few significant differences in frequencies of these traits between the Algonquian and Tuscarora, suggesting little genetic differentiation between the two groups. This research used the dental metrics of 170 Algonquian and 53 Tuscarora individuals found that the Algonquians had significantly more variation in only the canine buccolingual measurement (CBL) (Levene's F=8.6644; p=0.0049). The Tuscarora had significantly more variation in the first premolar mesiodistal measurement (PM1MD) (Levene's F=65.5607; p[less than]0.0001) but otherwise identified no overall significant differences in variation (Van Valen Z=1.45012, p=0.1470). These results largely agree with other studies that utilized various cranial and dental non-metric traits, and indicate that genetic dissimilarity did not follow that of language variability. Furthermore, one site linguistically categorized as Tuscarora but which shows a mixture of Algonquian and Tuscarora culturally-affiliated artifacts, was distinguished as Algonquian in all ten measurements, including the PM1MD (t=-1.99254, p=0.0085), first molar buccolingual measurement (M1BL) (t=1.99254, p=0.0124) and first molar mesiodistal measurement (M1MD) (t=1.99354, p=0.0120).
    URI
    http://hdl.handle.net/10342/6913
    Subject
     Biodistance Analysis; Dental Metrics; Prehistoric Native Americans; North Carolina Coastal Plain 
    Date
    2018-05-18
    Citation:
    APA:
    Weidner, Kara D. (May 2018). USING DENTAL METRIC ANALYSIS TO UNDERSTAND PREHISTORIC POPULATION VARIABILITY ON THE NORTH CAROLINA COASTAL PLAIN (Master's Thesis, East Carolina University). Retrieved from the Scholarship. (http://hdl.handle.net/10342/6913.)

    Display/Hide MLA, Chicago and APA citation formats.

    MLA:
    Weidner, Kara D. USING DENTAL METRIC ANALYSIS TO UNDERSTAND PREHISTORIC POPULATION VARIABILITY ON THE NORTH CAROLINA COASTAL PLAIN. Master's Thesis. East Carolina University, May 2018. The Scholarship. http://hdl.handle.net/10342/6913. September 26, 2023.
    Chicago:
    Weidner, Kara D, “USING DENTAL METRIC ANALYSIS TO UNDERSTAND PREHISTORIC POPULATION VARIABILITY ON THE NORTH CAROLINA COASTAL PLAIN” (Master's Thesis., East Carolina University, May 2018).
    AMA:
    Weidner, Kara D. USING DENTAL METRIC ANALYSIS TO UNDERSTAND PREHISTORIC POPULATION VARIABILITY ON THE NORTH CAROLINA COASTAL PLAIN [Master's Thesis]. Greenville, NC: East Carolina University; May 2018.
    Collections
    • Anthropology
    • Master's Theses
    • North Carolina Collection
    Publisher
    East Carolina University

    xmlui.ArtifactBrowser.ItemViewer.elsevier_entitlement

    East Carolina University has created ScholarShip, a digital archive for the scholarly output of the ECU community.

    • About
    • Contact Us
    • Send Feedback