In the eye of the beholder: sex and race estimation using the human orbital aperture

From the works of Broca and Krogman to modern-day Jantz and Buikstra, the orbit has been used for both quantitative and qualitative sex and race estimation. This study evaluates the practical value of these estimations. Orbital height and breadth were measured to determine the orbital index and assess differences between men and women or black people and white people in the Hamann-Todd Collection. Replicability of these measures was also examined. Finally, a geometric morphometric study was performed to assess shape differences using the entire margin. Significant differences were found in both the index and the geomorphometric study; however, further investigation revealed that the differences were of little practical use. The measurement differences were found to be smaller than intra-observer error, while the geometric morphometric analysis demonstrated that minimal percentage of variation in shape was attributable to group differences. Thus, these techniques should not be used to estimate sex or race.     

The Optimized Summed Scored Attributes Method for the Classification of U.S. Blacks and Whites: A Validation Study

Recently, Hefner and Ousley (2014) introduced the optimized summed scored attributes (OSSA) method that maximizes between‐group differences in U.S. black and white populations by dichotomizing six cranial morphoscopic trait scores. This study tests OSSA using an independent skeletal sample (Hamann‐Todd, n = 208) and positively identified forensic cases (Mercyhurst University, n = 28, and New York City Office of Chief Medical Examiner, n = 38). An evaluation of trait frequencies suggests shifting the heuristically selected sectioning point separating U.S. black and white populations from ≤ 3 to ≤ 4. We found a total correct classification of 73.0% (B = 50.9%, W = 89.2%) using the originally suggested sectioning point of ≤3, while the total correct classification increases to 79.2% (B = 80.2%, W = 78.5%) with a modified sectioning point of ≤4. With the increased total correct classification and reduced classification bias between ancestry groups, we suggest the modified sectioning point of ≤4 be used when assessing ancestry in forensic unknowns.     

颅骨种族差异的形态学研究进展

随着我国改革开放的不断深入,越来越多的外国人来到中国,骨骼的种族鉴定成为我国法医工作者必将面对的问题,然而我国在此方面的研究还较为薄弱,本文通过综述国内外相关研究,为我国法医工作者今后进行相关研究提供一些参考。     

Demographic change and forensic identification: problems in metric identification of Hispanic skeletons

The United States (U.S.) population structure is currently in a state of flux with one of the most profound changes being the increasing number of people referred to as Hispanic. In the U.S., much of the identification criteria for a biological profile are based on American Black and White individuals from anatomical collections. Using metric data from the Forensic Anthropology Data Bank (FDB), this paper will attempt to explore several issues that forensic anthropologists face when confronted with Hispanic remains. These will involve estimation of sex, height, and ancestry, the initial components of a biological profile. Discriminant function analyses indicate that American White criteria provide poor estimations of sex when applied to Hispanics and that ancestry estimation of Hispanic crania is difficult. Additionally, a new linear regression equation is presented that estimates stature for Hispanic individuals, although population specific criteria are still needed for Hispanic individuals from diverse geographical origins.     

Cranial Nonmetric Variation and Estimating Ancestry*

Abstract: Historically, when predicting the ancestry of human skeletal remains, forensic anthropologists have not fully considered the variation within human populations, but instead have relied on a typological, experience‐based approach. Unfortunately, reliance on observer experience has produced a method that is as much an art as it is a science. This research focuses on the frequency distribution and inter‐trait correlations of 11 common morphoscopic traits to demonstrate that the experience‐based approach to ancestry prediction is indeed an art that is unscientific, because it is unreplicable, unreliable, and invalid. Ten of 11 traits examined had frequency distributions with significant differences (p < 0.001) between groups, but the range in variation of these traits far exceeds previous assumptions. Such within group variation clearly demonstrates that extreme trait expressions are not reliable for estimating ancestry through visual observation alone, but instead that these traits should be analyzed within a statistical framework.     

Exploring ancestral variation of the hyoid

This study utilizes metric analysis to examine size and shape variation between hyoids of Africans and Europeans in the Robert J. Terry Anatomical Collection. A total of 200 fused and unfused hyoids were measured and three statistical methods were employed to explore variation between ancestries. First, independent sample t-tests showed that some significant size differences do occur between ancestries. Second, to examine shape variation, skeletal measurements were regressed on the geometric mean using least squares linear regression with the residuals used to evaluate size-corrected shape differences. Finally, discriminant function analysis was used to develop two functions for ancestry prediction with overall accuracies of 73% and 77%. Results of the analyses suggest hyoid size and shape differences do occur between ancestries, notably that European hyoids are broader than African hyoids, while the African hyoid is longer than Europeans.