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Metric Ancestry Estimation from the Postcranial Skeleton

Metric Ancestry Estimation from the Postcranial Skeleton

Abstract

Ancestry estimation is a key component when analyzing skeletal remains and, typically, one must estimate ancestry prior to sex and stature because of the population-specic nature of sexual dimorphism. Walker (2008) demonstrated that when using cranial nonmetric traits for sex estimation via discriminant function analyses, one must use population-specic data. Stature estimation methods are oen considered population-specic (Frutos 2003; Jantz, Kimmerle, and Baraybar 2008; Jantz and Ousley 2005; Kimmerle et al. 2008; Walker 2008) because sexual dimorphism in limb proportions may be expressed dierently within a single population group (Holliday and Falsetti 1999). To date, there have been many published methods of ancestry estimation using both metric and nonmetric data (Giles 1970; Finnegan 1978; Gill and Rhine 1990; Holliday and Falsetti 1999; Jantz and Ousley 2005; Anderson 2008; Wescott and Srikanta 2008). e cranium is thought to provide the best estimator of ancestry because of the heritability of craniofacial morphology (Howells 1973; Devor 1987; Perez, Bernal, and Gonzalez 2007; Hajek, Cerny, and Bruzek 2008). Although research in secular change in the craniofacial complex has been demonstrated (Angel 1976; Smith, Garn, and Hunter 1986; Cameron et al. 1990; Jantz and Meadows Jantz 2000; Jantz 2001), Relethford (2004) pointed out that it does not obscure the underlying genetic structure.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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