阶级分析和美国人口普查公共使用样本。

IF 1.6 2区 历史学 Q1 HISTORY
M. Sobek
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引用次数: 2

摘要

在本文中,我将通过使用各种美国人口普查公共使用样本....中可用的信息来检查马克思主义阶级分析的可能性公共使用样本是机器可读的个人和家庭微数据样本,这些样本来自原始的人口普查手稿....1880年、1900年、1910年、1940年、1950年、1960年、1970年和1980年存在不同密度的公共使用样本。作者的结论是,人口普查数据是有用的,但“社会科学的阶级图谱解释不了任何东西,除非我们能将其与阶级形成的其他层面联系起来。”公共使用样本需要用来帮助我们理解阶级形成过程发生的历史背景。通过应用公共使用样本,我们可以尝试比较阶级、性别和种族随时间的相对影响。”(摘录)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Class analysis and the U.S. census public use samples.
In this article I will examine the possibilities for a Marxist analysis of class through the use of the information available in the various U.S. census public use samples....The public use samples are machine-readable individual- and household-level microdata samples entered from the original census manuscripts....Public use samples of varying densities exist for 1880 1900 1910 1940 1950 1960 1970 and 1980. The author concludes that the census data are useful but that "the social scientific mapping of classes explains nothing until we can make connections to the other levels of class formation. The public use samples need to be used to help us understand the historical context within which the process of class formation has taken place. By applying the public use samples we can attempt to compare the relative influences of class gender and race over time." (EXCERPT)
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来源期刊
Historical Methods
Historical Methods Multiple-
CiteScore
3.20
自引率
7.10%
发文量
13
期刊介绍: Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.
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