Responding to the call: Population affinity estimation in a South African forensic context of identification - are we helping or harming?

IF 3.2 Q1 Social Sciences
Victoria E. Gibbon , Athi Baliso , Laura J. Heathfield
{"title":"Responding to the call: Population affinity estimation in a South African forensic context of identification - are we helping or harming?","authors":"Victoria E. Gibbon ,&nbsp;Athi Baliso ,&nbsp;Laura J. Heathfield","doi":"10.1016/j.fsisyn.2025.100643","DOIUrl":null,"url":null,"abstract":"<div><div>There is growing momentum in forensic anthropology to move away from using socially ascribed racial groups in analysis and reporting. This study evaluated whether and how anthropological estimation of population-affinity influences identification outcomes in forensic cases processed at the Forensic Anthropology Cape Town (FACT) laboratory in South Africa. A total of 172 cases (174 individuals) were examined. Estimated South African population-affinity distributions were: 37 % Mixed, 22 % African, 4 % European, 12 % displaying traits from multiple affinities, and 25 % indeterminate. Identification outcomes were assessed for 168 cases (six were known prior to assessment). Overall, 37 % were positively identified, 49 % remained unidentified, and 14 % had unknown status. Identification rates varied: African (51 %) and European (83 %) population-affinity groups showed higher rates of positive identification compared to Mixed (26 %) and multiple affinities (20 %). Notably, individuals with indeterminate affinity achieved a 44 % identification rate. Statistical testing indicated no significant association between estimated population-affinity and identification outcome (p = 0.974). Where comparison was possible, estimated population-affinity aligned with socially ascribed racial categories in 84 % of cases, with six misclassifications. Challenges were noted in distinguishing between South African Mixed and African population-affinities. Although the sample size was limited, our findings support discontinuing the inclusion of population-affinity estimation in South African forensic anthropology reports. In practice, law enforcement often translates anthropological affinity estimates into social racial categories, which in the South African context risks misclassification and undermines identification efforts.</div></div>","PeriodicalId":36925,"journal":{"name":"Forensic Science International: Synergy","volume":"11 ","pages":"Article 100643"},"PeriodicalIF":3.2000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Science International: Synergy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589871X25000725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/1 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

There is growing momentum in forensic anthropology to move away from using socially ascribed racial groups in analysis and reporting. This study evaluated whether and how anthropological estimation of population-affinity influences identification outcomes in forensic cases processed at the Forensic Anthropology Cape Town (FACT) laboratory in South Africa. A total of 172 cases (174 individuals) were examined. Estimated South African population-affinity distributions were: 37 % Mixed, 22 % African, 4 % European, 12 % displaying traits from multiple affinities, and 25 % indeterminate. Identification outcomes were assessed for 168 cases (six were known prior to assessment). Overall, 37 % were positively identified, 49 % remained unidentified, and 14 % had unknown status. Identification rates varied: African (51 %) and European (83 %) population-affinity groups showed higher rates of positive identification compared to Mixed (26 %) and multiple affinities (20 %). Notably, individuals with indeterminate affinity achieved a 44 % identification rate. Statistical testing indicated no significant association between estimated population-affinity and identification outcome (p = 0.974). Where comparison was possible, estimated population-affinity aligned with socially ascribed racial categories in 84 % of cases, with six misclassifications. Challenges were noted in distinguishing between South African Mixed and African population-affinities. Although the sample size was limited, our findings support discontinuing the inclusion of population-affinity estimation in South African forensic anthropology reports. In practice, law enforcement often translates anthropological affinity estimates into social racial categories, which in the South African context risks misclassification and undermines identification efforts.
响应呼吁:南非法医鉴定背景下的群体亲和力估计——我们是在帮助还是在伤害?
法医人类学越来越倾向于在分析和报告中不再使用社会上归属的种族群体。本研究评估了在南非开普敦法医人类学(FACT)实验室处理的法医案件中,人口亲缘性的人类学估计是否以及如何影响鉴定结果。共检查172例(174人)。估计南非人口亲和性分布为:37%混合,22%非洲人,4%欧洲人,12%显示多种亲和性特征,25%不确定。评估了168例病例的识别结果(评估前已知6例)。总的来说,37%的人被确定为阳性,49%的人身份不明,14%的人身份不明。鉴定率各不相同:非洲(51%)和欧洲(83%)人群亲和群体的阳性鉴定率高于混合(26%)和多重亲和群体(20%)。值得注意的是,亲和性不确定的个体的识别率为44%。统计检验表明,估计群体亲和力与鉴定结果无显著相关性(p = 0.974)。在可能进行比较的情况下,估计的人口亲和力在84%的情况下与社会归因于的种族类别一致,其中有6个错误分类。有人指出,在区分南非混血儿和非洲人口的亲缘关系方面存在挑战。尽管样本量有限,但我们的研究结果支持在南非法医人类学报告中停止纳入人口亲和力估计。在实践中,执法部门经常将人类学亲缘关系估计转化为社会种族类别,这在南非的背景下有可能被错误分类并破坏身份识别工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.90
自引率
0.00%
发文量
75
审稿时长
90 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书