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Sexual dimorphism and discriminant function sexing in indigenous South African crania

机译:南非土著克拉尼亚人的性二态性和判别功能性

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摘要

This study aimed to examine sexual dimorphism in, and to produce a practical discriminant function for determining the sex of indigenous, Bantu-speaking, South African crania. The types of data to be used were a small number of traditional, or mathematically transformed three-dimensional, linear measurements, comparable to those in use by most physical and forensic anthropologists. The samples to be examined, separately and pooled, were of the Cape Nguni, Natal Nguni and Sotho subgroups. In addition, three local populations ('tribes'―Zulu, Xhosa and Southern Sotho) within these subgroups were also studied. Univariate male/female ratios indicate significant sexual dimorphism in the pooled South African crania. Canonical variates analysis of the pooled sample showed that facial width is the strongest discriminating morphometric variable; cranial length and basi-bregmatic height are the next most significant features. Eight measurements derived from the three-dimensional data were used to produce a series of discriminant functions for sex determination in the pooled sample, for which an accuracy of 77-80% was attained. Analysis of the calvaria and face, separately, has shown that the sex of damaged material can be diagnosed with a reasonable degree of accuracy (75-76%). The new functions for the pooled indigenous South African sample provide improved sex discrimination accuracy compared to those obtained by employing the commonly utilised statistics of Giles & Elliot (1963), even when a modified sectioning point is used. Functions calculated for the separate local populations gave variable and fairly low improvements in sexing accuracy. As the subdivisions at all levels are at present quite rapidly disappearing in South Africa, for most purposes it is now best to simply apply the pooled data functions for sexing crania.
机译:这项研究旨在检查性别二态性,并产生实用的判别功能,以确定南非语(班图语)土著人的颅骨性别。与大多数物理和法医人类学家使用的数据相比,要使用的数据类型为少量传统的或数学上转换的三维线性测量。分别进行检查和合并的待检查样品分别为Cape Nguni,Natal Nguni和Sotho子组。此外,还研究了这些亚组中的三个当地人口(“部落”-祖鲁族,科萨族和南索托族)。男女比例单变量表明在合并的南非颅骨中存在明显的性二态性。合并样本的典型变量分析表明,脸部宽度是最强的辨别形态计量变量。第二个最重要的特征是颅骨的长度和基础的身高。从三维数据得出的八次测量被用来产生一系列判别函数,用于确定合并样本中的性别,其准确度达到77-80%。分别对颅盖和面部进行分析表明,可以以合理的准确度(75-76%)诊断出受损材料的性别。与通过使用Giles&Elliot(1963)的常用统计数据获得的性别识别功能相比,即使使用了修改后的剖分点,该新功能也可提高性别歧视的准确性。为单独的本地人口计算的函数在性别准确度方面产生了可变且相当低的提高。由于目前南非各个级别的细分都在迅速消失,因此对于大多数用途而言,最好现在仅应用汇总的数据功能来区分性别。

著录项

  • 来源
    《HOMO》 |2005年第3期|p.213-228|共16页
  • 作者单位

    School of Anatomy and Human Biology, The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009, Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人类学;
  • 关键词

  • 入库时间 2022-08-18 03:45:02

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