A JUDGMENT OF GOD?

IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
D. Hamstra
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Abstract

From the apocalyptic kingdom sequence and Nebuchadnezzar’s madness narrative in Daniel, Ellen G. White developed a cosmic-conflict account of divine judgment in human history: God’s character is revealed through the moral principles of governance by which he judges the nations. Drawing on OT prophetic oracles against the nations, Steven J. Keillor discerns divine judgment in US history, not only in calamitous events, but also in historical processes that “sift” the righteous from the unrighteous. The 2016 U.S. presidential elections and their outcome fit both patterns of divine judgment, yielding the provisional, working conclusion that they were the culmination of a sifting judgment that humbled and revealed moral defects in the right-, center-, and left-wing factions of American politics. In response to a sense of being under divine judgment, American Christians should be taught to align their political loyalty to God instead of political factions so as to form characters fit to govern with Christ in the age to come.
上帝的审判?
从《但以理书》中启示录的王国序列和尼布甲尼撒的疯狂叙述中,艾伦·g·怀特发展了一个关于人类历史上上帝审判的宇宙冲突的描述:上帝的性格是通过他审判国家的道德原则来揭示的。Steven J. Keillor利用旧约预言对列国的预言,在美国历史上发现了神的审判,不仅在灾难性事件中,而且在“筛选”义人和不义人的历史过程中。2016年美国总统大选及其结果符合这两种神的判断模式,得出了一个暂时的、有效的结论,即它们是一种筛选判断的高潮,这种判断使美国政治中的右翼、中间派和左翼派系谦卑并暴露了他们的道德缺陷。为了回应一种受到上帝审判的感觉,美国基督徒应该被教导在政治上忠于上帝,而不是政治派别,以便形成适合在未来时代与基督一起治理的品格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Knowledge Engineering Review
Knowledge Engineering Review 工程技术-计算机:人工智能
CiteScore
6.90
自引率
4.80%
发文量
8
审稿时长
>12 weeks
期刊介绍: The Knowledge Engineering Review is committed to the development of the field of artificial intelligence and the clarification and dissemination of its methods and concepts. KER publishes analyses - high quality surveys providing balanced but critical presentations of the primary concepts in an area; technical tutorials - detailed introductions to an area; application and country surveys, commentaries and debates; book reviews; abstracts of recent PhDs in artificial intelligence; summaries of AI-related research projects; and a popular "from the journals" section, giving the contents of current journals in theoretical and applied artificial intelligence.
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