Moral disagreement in everyday life: An inductive framework for capturing ‘moral order’

IF 3.2 2区 社会学 Q1 SOCIOLOGY
Yongren Shi, Regan Smock, Steven Hitlin
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引用次数: 0

Abstract

The study of morality outside of sociology can be improved, we demonstrate, with greater attention paid to aspects of situated interaction beyond abstract moral principles. We propose an inductive framework that focuses on the bottom-up, situationally framed aspects underlying moral disputes, including types of situational setting, contextual cues, and roles and relationships of involved parties. In clear-cut cases like murder, consensus on right or wrong emerges easily, influenced by either intentions or consequences. However, in complex moral disputes, situational conditions can significantly influence the valence and the degree of consensus of collective evaluation of morality. Drawing on over a million personal narratives from the online forum “Am I The Asshole?” (AITA), we present empirical analyses that build toward a “thick” understanding of moral evaluation (Abend, 2011). Our analyses find great variation in moral disagreements across settings, with those possessing strong situational norms reporting low disagreement about moral culpability; contextual cues lead to predictably divergent moral evaluations; and power disparities between involved parties resulting in blame more commonly assigned to those in power. We discuss the implications of the bottom-up framework for empirical research in sociology of morality.
日常生活中的道德分歧:捕捉“道德秩序”的归纳框架
我们证明,在社会学之外的道德研究可以得到改进,更多地关注超越抽象道德原则的情境互动方面。我们提出了一个归纳框架,该框架侧重于道德纠纷背后自下而上的情境框架方面,包括情境设置类型、语境线索以及相关各方的角色和关系。在像谋杀这样明确的案件中,在意图或后果的影响下,对对错的共识很容易形成。然而,在复杂的道德纠纷中,情境条件会显著影响集体道德评价的效价和共识程度。从网上论坛“我是混蛋吗?”(AITA),我们提出了建立对道德评价“厚”理解的实证分析(Abend, 2011)。我们的分析发现,不同情境下的道德分歧差异很大,那些拥有强烈情境规范的人对道德罪责的分歧较低;情境线索导致可预测的不同道德评价;相关各方之间的权力差距导致责任更多地归咎于掌权者。我们讨论了自下而上的道德社会学实证研究框架的意义。
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来源期刊
CiteScore
4.30
自引率
4.00%
发文量
0
审稿时长
65 days
期刊介绍: Social Science Research publishes papers devoted to quantitative social science research and methodology. The journal features articles that illustrate the use of quantitative methods in the empirical solution of substantive problems, and emphasizes those concerned with issues or methods that cut across traditional disciplinary lines. Special attention is given to methods that have been used by only one particular social science discipline, but that may have application to a broader range of areas.
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