scholarly journals L’architettura del Deccan tra il XIV e il XVI secolo

Author(s):  
Sara Mondini

Moving from the analysis of the architectural style promoted by the Bahmani dynasty (1347-1527) in Deccan, the volume intends to offer a cross section of the social, religious and cultural complexity of the region. The identification of artistic models and vocabularies allows, as a matter of fact, to redefine conflicts and encounters in the region and to outline the reshaping of the diverse identities throughout the decades. The described scenario, together with the sharing of spaces and rituals, reveals the inapplicability of the preconceived categories that generally dominate the South Asian studies even in the artistic field: it rather redraws the Subcontinent’s sacred geographies and the relations among the communities settled in the region.

Author(s):  
Pashaura Singh

Over 350 entries This new dictionary provides accessible definitions of the terms that the growing number of students of Sikhism will encounter. It covers beliefs, practices, festivals, sacred sites, and principal languages, as well as the social and religious processes through which Sikhism has evolved. A major focus is the teachings of the founder of Sikhism, Gurū Nānak, and doctrinal developments under subsequent Gurūs. Incorporating the 500-year history of Sikhism, from its birth in northern India to its more recent spread around the world, it covers the interplay between the Sikh tradition and other religious traditions, including Hindu and Sufi. It is an invaluable first reference for students and teachers of Sikhism, religious studies, South Asian studies, philosophy, and the related disciplines of history, sociology, and anthropology, as well as for all practising Sikhs and anyone with an interest in Sikh religion and culture.


1988 ◽  
Vol 22 (1) ◽  
pp. 43-56
Author(s):  
John Harriss

In 1986 the International Activities Committee of the Economic and Social Research Council decided to undertake reviews of progress in ‘area studies’, and to do this by means of small, inter-disciplinary conferences. A review conference on South Asian studies was held in Cambridge, and attended by forty-one scholars from different disciplines and from India, France, Holland and the USA as well as from Britain. The purpose of the review was understood to be a ‘stock-taking’ in different fields of research, intended to identify conceptual, theoretical and substantive issues at the frontiers of enquiry; and to examine the implications and contributions of research on South Asia for historical research and for the social sciences in general. In the pursuit of these objectives the conference had three components. First came sessions in which two economists (Toye and Chaudhuri), two historians (Tomlinson and Washbrook), an anthropologist (Fuller) and a sociologist (Hawthorn) presented views of ‘progress and problems’ in their fields. Then came two pairs of concurrent working groups on broad themes, drawing partly on the earlier papers and discussions; and finally three panelists (Bharadwaj, Breman and Lipton) offered commentary on the proceedings. The review papers by Toye, Tomlinson and Washbrook appear in this issue of Modern Asian Studies. What follows here is a commentary on some of the themes that emerged in the papers and discussions.


Author(s):  
Hussein Mohammed ◽  
Volker Märgner ◽  
Giovanni Ciotti

AbstractAutomatic pattern detection has become increasingly important for scholars in the humanities as the number of manuscripts that have been digitised has grown. Most of the state-of-the-art methods used for pattern detection depend on the availability of a large number of training samples, which are typically not available in the humanities as they involve tedious manual annotation by researchers (e.g. marking the location and size of words, drawings, seals and so on). This makes the applicability of such methods very limited within the field of manuscript research. We propose a learning-free approach based on a state-of-the-art Naïve Bayes Nearest-Neighbour classifier for the task of pattern detection in manuscript images. The method has already been successfully applied to an actual research question from South Asian studies about palm-leaf manuscripts. Furthermore, state-of-the-art results have been achieved on two extremely challenging datasets, namely the AMADI_LontarSet dataset of handwriting on palm leaves for word-spotting and the DocExplore dataset of medieval manuscripts for pattern detection. A performance analysis is provided as well in order to facilitate later comparisons by other researchers. Finally, an easy-to-use implementation of the proposed method is developed as a software tool and made freely available.


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