商品詳細

This book on peace and justice for all is part of a path-breaking initiative by Springer Nature heralding a new publication format compiling auto-summaries of literature. State-of-the-art computer algorithms were applied to select relevant sources from original articles published by Springer Nature. The selection was then rearranged in a topical order, and short summaries of the selected articles were provided. The result is the auto-summarization of current texts, organized by means of a similarity-based clustering routine in coherent chapters and sections.

The book collects material from about 150 original research articles published from 2018 to 2022. Every chapter comes with an introduction by the human expert that connects the dots of content chosen for that chapter and attempts to fill gap areas. In addition to more conventional topics such as crimes against women, children, and marginalized communities, human trafficking, criminal justice, activist suppression, access to social justice, institutions, and so on, the book contains discussions on relatively newer areas such as environmental and ecological justice. The book serves as a useful resource for anyone who wants to gain a quick overview of the topic, especially current developments in the field. Due to interdisciplinary nature of the content, the content is of importance to readers from a wide array of humanitarian research.

Note: The auto-summaries have been generated by a recursive clustering algorithm via the Dimensions Auto-summarizer by Digital Science handled by Subject Matter Experts and the editors of this book. The editors of this book selected which SN 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.