Charu Gupta – författare

Caste and gender are complex markers of difference that have traditionally been addressed in isolation from each other, with a presumptive maleness present in most studies of Dalits (“untouchables”) and a presumptive upper-casteness in many feminist studies. In this study of the representations of Dalits in the print culture of colonial north India, Charu Gupta enters new territory by looking at images of Dalit women as both victims and vamps, the construction of Dalit masculinities, religious conversion as an alternative to entrapment in the Hindu caste system, and the plight of indentured labor.The Gender of Caste uses print as a critical tool to examine the depictions of Dalits by colonizers, nationalists, reformers, and Dalits themselves and shows how differentials of gender were critical in structuring patterns of domination and subordination.

This collection brings together nine essays, accompanied by nine short translations that expand the assumptions that have typically framed literary histories, and creatively re-draws their boundaries, both temporally and spatially. The essays, rooted in the humanities and informed by interdisciplinary area studies, explore multiple linkages between forms of print culture, linguistic identities, and diverse vernacular literary spaces in colonial and post-colonial South Asia. The accompanying translations—from Bengali, Hindi, Marathi, Tamil, and Urdu—not only round out these scholarly explorations and comparisons, but invite readers to recognise the assiduous, intimate, and critical labour of expanding access to the vernacular archive, while also engaging with the challenges—linguistic, cultural, and political—of rendering vernacular articulations of gendered experience and embodiment in English. Collectively, the essays and translations foreground complex and politicised expressions of gender and genre in fictional and non-fictional print materials and thus draw meaningful connections between the vernacular and literature, the everyday and the marginals, and gender and sentiment. They expand vernacular literary archives, canons and genealogies, and push us to theorise the nature of writing in South Asia.

Literary Sentiments in the Vernacular is a significant new contribution to South Asian literary history and gender studies, and will be a great resource for academics, researchers, and advanced students of History, Literature, Cultural Studies, Politics, and Sociology.

The chapters in this book were originally published as a special issue of South Asia: Journal of South Asian Studies.

This collection brings together nine essays, accompanied by nine short translations that expand the assumptions that have typically framed literary histories, and creatively re-draws their boundaries, both temporally and spatially. The essays, rooted in the humanities and informed by interdisciplinary area studies, explore multiple linkages between forms of print culture, linguistic identities, and diverse vernacular literary spaces in colonial and post-colonial South Asia. The accompanying translations—from Bengali, Hindi, Marathi, Tamil, and Urdu—not only round out these scholarly explorations and comparisons, but invite readers to recognise the assiduous, intimate, and critical labour of expanding access to the vernacular archive, while also engaging with the challenges—linguistic, cultural, and political—of rendering vernacular articulations of gendered experience and embodiment in English. Collectively, the essays and translations foreground complex and politicised expressions of gender and genre in fictional and non-fictional print materials and thus draw meaningful connections between the vernacular and literature, the everyday and the marginals, and gender and sentiment. They expand vernacular literary archives, canons and genealogies, and push us to theorise the nature of writing in South Asia.

Literary Sentiments in the Vernacular is a significant new contribution to South Asian literary history and gender studies, and will be a great resource for academics, researchers, and advanced students of History, Literature, Cultural Studies, Politics, and Sociology.

The chapters in this book were originally published as a special issue of South Asia: Journal of South Asian Studies.

This book builds on the latest research on India’s partition and the politics of communal identity and explores the intricate relationship between community and religion on the one hand, and space or geography on the other.

Reconsidering the role of space from the quotidian neighbourhood through to the urban, regional, national and international, the chapters in this volume examine how religious community identities have been mapped onto particular spaces, and transformed through the interaction of spatial levels scales. Gurdwaras, mosques, temples, homes, shops, mohallas and the administrative border making of states at urban, regional and national levels have all been implicated in this complex history of mapping and making religious communities. Exploring this rich history through a range of detailed case studies that straddle partition in 1947, the book draws from a number of methods and sources, including archival work, visual analysis, oral history and ethnography.

The chapters in this book were originally published in South Asia: The Journal of South Asian Studies and are accompanied by a new updated Introduction.

This book builds on the latest research on India’s partition and the politics of communal identity and explores the intricate relationship between community and religion on the one hand, and space or geography on the other.

Reconsidering the role of space from the quotidian neighbourhood through to the urban, regional, national and international, the chapters in this volume examine how religious community identities have been mapped onto particular spaces, and transformed through the interaction of spatial levels scales. Gurdwaras, mosques, temples, homes, shops, mohallas and the administrative border making of states at urban, regional and national levels have all been implicated in this complex history of mapping and making religious communities. Exploring this rich history through a range of detailed case studies that straddle partition in 1947, the book draws from a number of methods and sources, including archival work, visual analysis, oral history and ethnography.

The chapters in this book were originally published in South Asia: The Journal of South Asian Studies and are accompanied by a new updated Introduction.

Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia.

Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms.

These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.

Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia.

Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms.

These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.

Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specific domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent findings and innovative research in the information system and KE domain. Highlighting the challenges and difficulties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will find this book a valuable source of ideas and guidance.

Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specific domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent findings and innovative research in the information system and KE domain. Highlighting the challenges and difficulties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will find this book a valuable source of ideas and guidance.