对政策和惩罚的态度:反对基于不平等的政府援助可预测死刑支持率

Q3 Social Sciences
Adam Trahan, Andrew S. Voss, Shannon K. Fowler
{"title":"对政策和惩罚的态度:反对基于不平等的政府援助可预测死刑支持率","authors":"Adam Trahan, Andrew S. Voss, Shannon K. Fowler","doi":"10.6000/1929-4409.2024.13.15","DOIUrl":null,"url":null,"abstract":"Objective: There exists a well-developed body of research on the attitudinal correlates of support for capital punishment. Among the most robust of these is racism and racial attributions. The study presented here was designed to explore whether policy prescriptions reflective of racial attitudes can predict support for capital punishment. \nMethod: Data come from the 2018 iteration of the NORC General Social Survey. The dependent variable is a dichotomous measure of support for the death penalty for people convicted of murder. The independent variable is a 5-level Likert-type item of support for government aid to Blacks to help overcome discrimination. Binary logistic regression was used to analyze the relationship between variables net of standard controls. \nResults: Over 63 percent of the total sample supported the death penalty. Support among those strongly favored government aid to Blacks was 41 percent. Support among those who strongly rejected aid to Blacks was 78 percent. Results of the regression analysis showed each decrease in the level of support for government aid to Blacks was associated with an 18.6 percent increase in the likelihood of supporting the death penalty. \nConclusion: Capital punishment support is not simply a function of abstract, hypothetical racial attitudes. The findings reported here suggest support for the death penalty is associated with concrete policy prescriptions that maintain racial inequalities. Given that capital punishment continues in large part due to public support, it should be recognized that this support is based on a desire to maintain racial inequalities through government action.","PeriodicalId":37236,"journal":{"name":"International Journal of Criminology and Sociology","volume":"5 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Attitudes on Policy and Punishment: Opposition to Inequality-Based Government Aid Predicts Support for Capital Punishment\",\"authors\":\"Adam Trahan, Andrew S. Voss, Shannon K. Fowler\",\"doi\":\"10.6000/1929-4409.2024.13.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: There exists a well-developed body of research on the attitudinal correlates of support for capital punishment. Among the most robust of these is racism and racial attributions. The study presented here was designed to explore whether policy prescriptions reflective of racial attitudes can predict support for capital punishment. \\nMethod: Data come from the 2018 iteration of the NORC General Social Survey. The dependent variable is a dichotomous measure of support for the death penalty for people convicted of murder. The independent variable is a 5-level Likert-type item of support for government aid to Blacks to help overcome discrimination. Binary logistic regression was used to analyze the relationship between variables net of standard controls. \\nResults: Over 63 percent of the total sample supported the death penalty. Support among those strongly favored government aid to Blacks was 41 percent. Support among those who strongly rejected aid to Blacks was 78 percent. Results of the regression analysis showed each decrease in the level of support for government aid to Blacks was associated with an 18.6 percent increase in the likelihood of supporting the death penalty. \\nConclusion: Capital punishment support is not simply a function of abstract, hypothetical racial attitudes. The findings reported here suggest support for the death penalty is associated with concrete policy prescriptions that maintain racial inequalities. Given that capital punishment continues in large part due to public support, it should be recognized that this support is based on a desire to maintain racial inequalities through government action.\",\"PeriodicalId\":37236,\"journal\":{\"name\":\"International Journal of Criminology and Sociology\",\"volume\":\"5 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Criminology and Sociology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6000/1929-4409.2024.13.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Criminology and Sociology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6000/1929-4409.2024.13.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

摘要

目的:有关支持死刑的态度相关因素的研究已经非常成熟。其中最有力的研究是种族主义和种族归因。本研究旨在探讨反映种族态度的政策规定是否能预测死刑支持率。研究方法数据来自 2018 年迭代的 NORC 一般社会调查。因变量是对被判犯有谋杀罪的人是否支持死刑的二分测量。自变量是支持政府向黑人提供援助以帮助他们克服歧视的 5 级 Likert 类型项目。在扣除标准控制因素后,采用二元逻辑回归分析变量之间的关系。结果:超过 63% 的样本支持死刑。强烈赞成政府援助黑人的支持率为 41%。强烈反对援助黑人的支持率为 78%。回归分析结果显示,对政府援助黑人的支持度每降低一个百分点,支持死刑的可能性就会增加 18.6%。结论:死刑支持率并不仅仅是抽象的、假设的种族态度的函数。本文的研究结果表明,支持死刑与维持种族不平等的具体政策规定有关。鉴于死刑的延续在很大程度上是由于公众的支持,我们应该认识到这种支持是建立在通过政府行为维持种族不平等的愿望之上的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attitudes on Policy and Punishment: Opposition to Inequality-Based Government Aid Predicts Support for Capital Punishment
Objective: There exists a well-developed body of research on the attitudinal correlates of support for capital punishment. Among the most robust of these is racism and racial attributions. The study presented here was designed to explore whether policy prescriptions reflective of racial attitudes can predict support for capital punishment. Method: Data come from the 2018 iteration of the NORC General Social Survey. The dependent variable is a dichotomous measure of support for the death penalty for people convicted of murder. The independent variable is a 5-level Likert-type item of support for government aid to Blacks to help overcome discrimination. Binary logistic regression was used to analyze the relationship between variables net of standard controls. Results: Over 63 percent of the total sample supported the death penalty. Support among those strongly favored government aid to Blacks was 41 percent. Support among those who strongly rejected aid to Blacks was 78 percent. Results of the regression analysis showed each decrease in the level of support for government aid to Blacks was associated with an 18.6 percent increase in the likelihood of supporting the death penalty. Conclusion: Capital punishment support is not simply a function of abstract, hypothetical racial attitudes. The findings reported here suggest support for the death penalty is associated with concrete policy prescriptions that maintain racial inequalities. Given that capital punishment continues in large part due to public support, it should be recognized that this support is based on a desire to maintain racial inequalities through government action.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Criminology and Sociology
International Journal of Criminology and Sociology Social Sciences-Cultural Studies
自引率
0.00%
发文量
14
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信