Advancing Global Social Work: A Machine-Generated Literature Overview (en Inglés) - Rajendra Baikady

This book provides a machine-generated overview of social work across the globe, providing an in-depth understanding on social work education, practice and research. It shows the latest developments in social work, curriculum, pedagogy, practice, research and clinical social work. Each chapter is organized by the book editor with a human-written introduction. In a time when the world is facing several challenges and social work as a human service profession is getting global recognition and acceptance, it is essential to generate evidence-based literature on the development, changes, and challenges. Chapters in this book help readers understand contemporary debates, discussions and insights on global social work and its growth and development. It is a one-stop resource for scholars studying social work, social policy, social welfare, social exclusion and inclusion, sociology and other social science discipline, as it presents the literature on the recent development of the field in one place. The book is equally valuable to undergraduate and postgraduate social work students across all educational institutions without boundaries.

The auto-summaries have been generated by a recursive clustering algorithm via the Dimensions Auto-summarizer by Digital Science. The editor of this book selected which Springer Nature content should be auto-summarized and decided its order of appearance. Please be aware that these are extractive auto-summaries, which consist of original sentences, but are not representative of its original paper, since we do not show the full length of the publication. Please note that only published SN content is represented here, and that machine-generated books are still at an experimental stage.