Osteological age-at-death estimation in an archaeological sample avoiding age-mimicry: a six-step approach

IF 2.1 2区 地球科学 Q1 ANTHROPOLOGY Archaeological and Anthropological Sciences Pub Date : 2024-07-24 DOI:10.1007/s12520-024-02034-0
Denise U. Navitainuck, Werner Vach, Kurt W. Alt, Sandra L. Pichler
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Abstract

In human osteoarchaeology, individual age-at-death is traditionally assigned by scoring characteristic expressions of specific traits and applying formulas or algorithms. However, it is well known that the resulting age estimates in target samples suffer from bias due to the effect of age-mimicry, both at the individual and at the population level. A general statistical methodology to obtain unbiased estimates of the age-at-death distribution in skeletal samples has been available for more than two decades. Even so, the procedure is rarely used. This may be related to the fact that this methodology requires external input which has selection of distributional characteristics to be reported. In this paper, we translate the general methodology into a clearly stated six-step procedure to be followed. We illustrate the six steps using an archaeological sample of 675 adult individuals and 15 scoring methods from traditional age-estimation procedures. By clearly identifying the actions that are necessary for its application we intend to make the approach more accessible for osteoarchaeologists while at the same time highlighting some challenges that need to be addressed in the future. Our study demonstrates that the approach is feasible and illustrates the absence of age-mimicry. A combined analysis of five informative traits allowed to obtain estimates of several characteristics of the target sample age distribution. However, its routine use will benefit from improved input from relevant reference samples and improved statistical software.

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避免年龄模仿的考古样本中的骨龄估计:六步方法
在人类骨质考古学中,个体的死亡年龄传统上是通过对特定特征的特征表达进行评分,并应用公式或算法来确定的。然而,众所周知,由于年龄模仿的影响,目标样本的年龄估计值在个体和群体层面都存在偏差。二十多年前就有了一种通用的统计方法,可以获得骨骼样本中死亡年龄分布的无偏估计值。即便如此,这种方法还是很少被使用。这可能与该方法需要外部输入有关,因为外部输入需要选择需要报告的分布特征。在本文中,我们将一般方法转化为明确的六步程序。我们使用 675 个成年个体的考古样本和传统年龄估计程序中的 15 种评分方法来说明这六个步骤。通过明确应用该方法所必须采取的行动,我们打算让骨质考古学家更容易使用该方法,同时也强调了未来需要应对的一些挑战。我们的研究表明,这种方法是可行的,而且不存在年龄模仿现象。通过对五个信息特征的综合分析,可以估算出目标样本年龄分布的若干特征。不过,该方法的常规使用将受益于相关参考样本的改进输入和统计软件的改进。
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来源期刊
Archaeological and Anthropological Sciences
Archaeological and Anthropological Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
4.80
自引率
18.20%
发文量
199
期刊介绍: Archaeological and Anthropological Sciences covers the full spectrum of natural scientific methods with an emphasis on the archaeological contexts and the questions being studied. It bridges the gap between archaeologists and natural scientists providing a forum to encourage the continued integration of scientific methodologies in archaeological research. Coverage in the journal includes: archaeology, geology/geophysical prospection, geoarchaeology, geochronology, palaeoanthropology, archaeozoology and archaeobotany, genetics and other biomolecules, material analysis and conservation science. The journal is endorsed by the German Society of Natural Scientific Archaeology and Archaeometry (GNAA), the Hellenic Society for Archaeometry (HSC), the Association of Italian Archaeometrists (AIAr) and the Society of Archaeological Sciences (SAS).
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