The text consists of four major parts: the scope and method of anthropology, a conceptual and institutional overview, the evolution of the structure of human societies, and the cultural politics of race, ethnicity, nationalism and multiculturalism.
Josep R. Llobera† was born in Havana and brought up in Catalonia. He made Britain his home in 1969. He was a visiting Professor of Anthropology at University College London and the Universitat Pompeu Fabra in Barcelona.
Nine anthropologists examine these problems, drawing on diverse case studies. These range from the dilemmas of the religious refashioning of the ethnographer in contemporary Indonesia to the embodied knowledge of ballet performers, and from ignorance about post-colonial ritual innovations by the anthropologist in highland Papua to the skilled visions of slow food producers in Italy. It is a key text for new fieldworkers as much as for established researchers. The anthropological insights developed here are of interdisciplinary relevance: cultural studies scholars, sociologists and historians will be as interested as anthropologists in this re-evaluation of fieldwork and the project of ethnography.
Edited by two students of Gluckman, the volume comprises reprinted pieces by Gluckman and his colleague Clyde Mitchell, a Coda by Mitchell’s student, Bruce Kapferer, contributions by Gluckman’s students and/or friends and colleagues, including Ronnie Frankenberg, Kapferer, Evens, Handelman, and Sally Falk Moore, as well as a number of contributions from other practitioners of the extended case. Apart from the reprinted pieces by Gluckman and Mitchell, all the contributions have been written for this volume. These essays, historical, theoretical, and ethnographical, serve to highlight and critically examine the fundamental features of the extended-case method, in order to advance its substantial, continuing merits.
The book series is led by an international team of editors, whose work represents the full range of current Nietzsche scholarship.
This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses.