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Scholars are interested in better understanding the low fertility observed in higher income countries. While some people are choosing to have smaller families, countries also report a ‘fertility gap’, which is the proportion of people who end up with fewer children than originally desired. This paper investigates some causes of the fertility gap in the UK. We amassed qualitative data from seven focus groups conducted among men and women of reproductive age with different educational backgrounds. These focus groups suggest that social support is an influential factor for Britons thinking about having children, although discussions differed in terms of whether this was support from partners or parents. Discussions with university-educated women featured themes of career opportunity costs, and non-university men contributed insights on the financial burden of parenthood. This exploratory study provides up-to-date material on unwanted childlessness and the low fertility in the UK, and highlights the merit of using qualitative methods in understanding the fertility gap. Full article

Objectives: The focus of this research is to evaluate the sex estimation methods on isolated human materials by applying morphological methods published in various forensic and anthropological literature on different skeletal series. Materials and Methods: 165 individuals from the 19th to 20th century Inden skeletal series, 252 individuals from the 13th to 14th century Lübeck skeletal series of German ancestry housed at the Department of Historical Anthropology and Human Ecology, the University of Göttingen, Germany, and 161 individuals from the 19th and 20th century of South African African ancestry housed within the Raymond A. Dart collection of modern human skeletons at the University of Witwatersrand, South Africa, with crania, mandibles, and pelves, were assessed. The evaluation criteria are burial information on the Inden series, genetic sex on both the Inden and the Lübeck series, and previous demography on cadavers from the South African African series. Results and Discussion: The sex estimation with cranial traits perform better in Inden and South Africa samples and worse in Lübeck sample. The mandible accuracies for pooled sexes are not exemplary, but the individual traits perform better for males in the Inden, Lübeck, and South Africa samples, except for gonion and angle, which performs better in females. The pelvic traits perform better in the Inden and South Africa samples compared to the Lübeck sample. The statistical tests show that there is a huge difference in the accuracy rates and the performance between both population groups from Germany itself, considering that Inden and Lübeck samples share the same ancestry. The accuracy rates improve with the exclusion of ambiguous individuals. Full article