ArticleAmerican journal of physical anthropology2019
Evaluating macroscopic sex estimation methods using genetically sexed archaeological material: The medieval skeletal collection from St John's Divinity School, Cambridge.
Article in American journal of physical anthropology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Deconstructing Biological Sex by Fuzzifying Osteological Sex: Implications for Theoretically Informed Practice.American journal of biological anthropology · 2026Article
- CRISP: Cremated remains inference of sex probabilities - A software for Bayesian sex estimation in human cremated remains.PloS one · 2026Article
- More continuity than change following the Black Death epidemic in medieval Cambridge.Scientific reports · 2025Article
- Sexual Dimorphism of the Lateral Angle of the Petrous Bone in Children: Growth Patterns and the Influence of Cranial Width.Biology · 2025Article
- Sex assessment from the pelvis: a test of the Phenice (1969) and Klales et al. (2012) methods.Forensic science, medicine, and pathology · 2024Article
- Comparing Walker's (2008) skull trait sex estimation standard to proteomic sex estimation for a group of South Asian individuals.Forensic science international. Synergy · 2024Article
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- A new method for sex estimation based on femoral cross-sectional geometry measurements and its validation using recent and ancient populations.International journal of legal medicine · 2023Article
- Cranial and Odontological Methods for Sex Estimation-A Scoping Review.Medicina (Kaunas, Lithuania) · 2022Article
- Fancy shoes and painful feet: Hallux valgus and fracture risk in medieval Cambridge, England.International journal of paleopathology · 2021Article
- Medieval injuries: Skeletal trauma as an indicator of past living conditions and hazard risk in Cambridge, England.American journal of physical anthropology · 2021Article
- Gout and 'Podagra' in medieval Cambridge, England.International journal of paleopathology · 2021Article
- Evaluating macroscopic sex estimation methods using genetically sexed archaeological material: The medieval skeletal collection from St John's Divinity School, Cambridge.American journal of physical anthropology · 2019Article
- Osteobiography: The History of the Body as Real Bottom-Line History.Bioarchaeology international · 2019Article
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6 authors.
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Abstract
objectivesIn tests on known individuals macroscopic sex estimation has between 70% and 98% accuracy. However, materials used to create and test these methods are overwhelming modern. As sexual dimorphism is dependent on multiple factors, it is unclear whether macroscopic methods have similar success on earlier materials, which differ in lifestyle and nutrition. This research aims to assess the accuracy of commonly used traits by comparing macroscopic sex estimates to genetic sex in medieval English material. MATERIALS AND
methodsSixty-six individuals from the 13th to 16th century Hospital of St John the Evangelist, Cambridge, were assessed. Genetic sex was determined using a shotgun approach. Eighteen skeletal traits were examined, and macroscopic sex estimates were derived from the os coxae, skull, and os coxae and skull combined. Each trait was tested for accuracy to explore sex estimates errors.
resultsThe combined estimate (97.7%) outperformed the os coxae only estimate (95.7%), which outperformed the skull only estimate (90.4%). Accuracy rates for individual traits varied: Phenice traits were most accurate, whereas supraorbital margins, frontal bossing, and gonial flaring were least accurate. The preauricular sulcus and arc compose showed a bias in accuracy between sexes. DISCUSSION: Macroscopic sex estimates are accurate when applied to medieval material from Cambridge. However, low trait accuracy rates may relate to differences in dimorphism between the method derivative sample and the St John's collection. Given the sex bias, the preauricular sulcus, frontal bossing, and arc compose should be reconsidered as appropriate traits for sex estimation for this group.
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