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The Routledge Handbook of Anthropology and Reproduction is a comprehensive overview of the topics, approaches, and trajectories in the anthropological study of human reproduction. The book brings together work from across the discipline of anthropology, with contributions by established and emerging scholars in archaeological, biological, linguistic, and sociocultural anthropology. Across these areas of research, consideration is given to the contexts, conditions, and contingencies that mark and shape the experiences of reproduction as always gendered, classed, and racialized. Over 39 chapters, a diverse range of international scholars cover topics including: Reproductive governance, stratification, justice, and freedom. Fertility and infertility. Technologies and imaginations. Queering reproduction. Pregnancy, childbirth, and reproductive loss. Postpartum and infant care. Care, kinship, and alloparenting. This is a valuable reference for scholars and upper-level students in anthropology and related disciplines associated with reproduction, including sociology, gender studies, science and technology studies, human development and family studies, global health, public health, medicine, medical humanities, and midwifery and nursing.
This book explores the contrasting development options available to Beijing and Shanghai and proposes strategies for these cities based on their current and acquired capabilities, experience of other world cities, the emerging demand in the national market, and likely trends in global trade.
A collection of 15 interviews.
This book provides a clear and straightforward guide for all those seeking to conduct quantitative research in the field of education, using primary research data samples. While positioned as less powerful and somehow inferior, non-parametric tests can be very useful where the research can only be designed to accommodate data structure which is ordinal, or scale but violates a normality assumption, which is required for parametric tests. Non-parametric data are a staple of educational research, and as such, it is essential that educational researchers learn how to work with these data with confidence and rigour.