Flash in the Pan: Cross-Class Cooperation in 1916 Iron Range Strike

In the Iron Range Strike of 1916, working-class wives picketed alongside their husbands in a conflict-ridden and dangerous setting. Mine deputies abused immigrant women on the picket lines and in their homes, with several disquieting reports receiving statewide attention in Minnesota. Many middle-class reformers in the Twin Cities grew sympathetic to the plight of northern mining families and became controversially involved the labor struggle. Some middleclass women worked alongside working-class wives and radical organizers from the Industrial Workers of the World (IWW). At the center of this gendered analysis is the cross-class cooperation between an upper-middle class woman, Lenora Austin Hamlin, a radical reformer, Elizabeth Gurley Flynn, and the story of a working-class housewife, Mikla Masonovich. This study will ask how authentic, prevalent, and unproblematic their stories of cross-class cohesive action actually were. In answering this, it will address and identify those factors that impeded women’s potential for unity. “Flash in the Pan” argues that as a result of both real and perceived differences, these networks of women remained isolated, inhibiting each from gaining sufficient power to work cohesively, and marginalizing their influence. Drawing upon a variety of sources, including media representations in newspapers, and archives of social, labor and women’s organizations, this regional study lends state-level insight into the larger gender-labor historiography.

Bayesian change-point analysis in linear regression model with scale mixtures of normal distributions

In this thesis, we consider Bayesian inference on the detection of variance change-point models with scale mixtures of normal (for short SMN) distributions. This class of distributions is symmetric and thick-tailed and includes as special cases: Gaussian, Student-t, contaminated normal, and slash distributions. The proposed models provide greater flexibility to analyze a lot of practical data, which often show heavy-tail and may not satisfy the normal assumption. As to the Bayesian analysis, we specify some prior distributions for the unknown parameters in the variance change-point models with the SMN distributions. Due to the complexity of the joint posterior distribution, we propose an efficient Gibbs-type with Metropolis- Hastings sampling algorithm for posterior Bayesian inference. Thereafter, following the idea of [1], we consider the problems of the single and multiple change-point detections. The performance of the proposed procedures is illustrated and analyzed by simulation studies. A real application to the closing price data of U.S. stock market has been analyzed for illustrative purposes.

ANALYSIS OF GENDER RELATIONS IN THE INDUSTRIAL COMMUNITY OF AGUIRRE, PUERTO RICO

This thesis is a study of the gender relations of the residents of Aguirre, Puerto Rico, between 1940 and 1991. The primary goal of the project was to explore how gender roles and relations in the Aguirre community were impacted by the social class system introduced by the Aguirre Sugar Company. This project was based on the interpretation of the past and present situation of the Aguirre community using oral history, by conducting a series of interviews among its residents. The interviews resulted in three main themes. First, the concepts of `normal and natural' were used to distinguish gender roles. Second, Aguirreños identified `family as community', since through the family individuals built their gender identity and learned the basic rules of coexistence within the social hierarchy of the community. Third, although the gender and class roles were clear in the community, `resistance and negotiation' occurred in the home and at the Company between those of different gender and social classes. The Aguirre Sugar Company was one of the principal influences on the construction of the Aguirreños identity, and left a mark on the past, present and future generations.