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Titlebook: Secularization, Desecularization, and Toleration; Cross-Disciplinary C Vyacheslav Karpov,Manfred Svensson Book 2020 The Editor(s) (if appli

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书目名称Secularization, Desecularization, and Toleration
副标题Cross-Disciplinary C
编辑Vyacheslav Karpov,Manfred Svensson
视频video
概述Questions one-sided assumptions about secularization and toleration.Aims to achieve an evidence-based view of the relationships between secularization, desecularization, and toleration in the history
图书封面Titlebook: Secularization, Desecularization, and Toleration; Cross-Disciplinary C Vyacheslav Karpov,Manfred Svensson Book 2020 The Editor(s) (if appli
描述.This book challenges the modern myth that tolerance grows as societies become less religious. The myth inseparably links the progress of toleration to the secularization of modern society. This volume scrutinizes this grand narrative theoretically and empirically, and proposes alternative accounts of the varied relationships between diverse interpretations of religion and secularity and multiple secularizations, desecularizations, and forms of toleration. The authors show how both secular and religious orthodoxies inform toleration and persecution, and how secularizations and desecularizations engender repressive or pluralistic regimes. Ultimately, the book offers an agency-focused perspective which links the variation in toleration and persecution to the actors of secularization and desecularization and their cultural programs. .
出版日期Book 2020
关键词St; Augustine; Ibn ‘Arabi; Moses Mendelssohn; Abraham Kuyper; Zionism; secularism; religion and society
版次1
doihttps://doi.org/10.1007/978-3-030-54046-3
isbn_softcover978-3-030-54048-7
isbn_ebook978-3-030-54046-3
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Vyacheslav Karpov,Manfred Svenssonust 2003. The conference program committee has organized an exciting and invigorating program comprising pres­ entations from distinguished experts in the field, and important and wide-ranging contributions on state-of-the-art research that provide new insights into ‘Current Innovations in Intellige
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Holger Zaborowskitures viz., color, texture, and shape from logo images. These features are then fused to emphasize the superiority of feature level fusion strategy. Due to the existence of large variations across the samples in each class, the samples are clustered and represented in the form of symbolic interval v
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Eduardo Fuentesertain tasks in domains such as visual concept learning. While humans can efficiently learn new concepts with just one or few exemplars, most current generation ML algorithms need . datasets to train for effective concept learning. Visual concept learning is especially data hungry as computer vision
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