Doctoral Dissertation Research: The Intersection of Stratification, White Ethnicity and Gender: An Emergent Ethnicity Approach to White Ethnic Wives' Labor Force Behavior

这是一个奖项下的赠款为改善博士论文研究计划。 这是一项关于白色族裔群体的族裔认同变化以及这种认同对妇女劳动力参与的影响的研究。 将使用1910年、1940年、1950年、1970年和1980年的人口普查数据，重点是英国、意大利、波兰和犹太妇女。 来自137个不同美国城市的人口普查数据将通过时间来检查，以了解当地经济和人口构成的特点如何影响劳动力 强迫妇女参与选定的族裔群体。 以前的研究认为，由于长期接触美国大熔炉，移民的种族认同逐渐消退。 最近，研究人员认识到，种族认同和与这种认同相关的独特行为形式可以被加强或削弱，这取决于一个群体成员所生活的当地社会结构的特征。 然而，迄今为止，很少有研究严格调查这种“新兴种族”是如何运作的，通过这样做，这个项目将作出重要贡献。 除了通过研究取得的科学成果外，该奖项还将在物质上帮助一位非常有前途的学生完成博士研究。 论文 因此，它有助于国家未来的科学人才和下一代社会科学家的全面培训。

This is an award under the Grants for Improving Doctoral Dissertation Research program. It is a study of changes in ethnic identification among white ethnic groups and the impact of such identification on the labor force participation of women. Census data from the 1910, 1940, 1950, 1970, and 1980 censuses will be used, with a focus on English, Italian, Polish, and Jewish women. Census data from 137 different American cities will be examined through time to see how features of the local economy and population composition affect the labor force participation of women in the chosen ethnic groups. Previous research has viewed the ethnic identification of immigrants as gradually receding as a result of prolonged exposure to the American melting pot. More recently researchers have recognized that ethnic identification and distinctive forms of behavior associated with that identification can be either strengthened or weakened, depending upon features of the local social structure in which members of a group live. Yet to date few studies have rigorously investigated how this "emergent ethnicity" works, and by doing so, this project will make an important contribution. In addition to the scientific gains to be achieved by the research, this award will materially assist a highly promising student in completing research for the Ph.D. dissertation. Thus it contributes to the future scientific manpower of the nation and the thorough training of the next generation of social scientists.