Finnish Miners versus Ivy League Capitalists

Finnish immigrants were recruited to work in the copper mines of Michigan by Boston capitalists intimately associated with Harvard. Boston capitalists defined the culture of capitalism in the United States. They extended their culture across the continent as they acquired mines and railroads. Finnish workers encountered Ivy League capitalism in Michigan, Minnesota, Idaho, Montana, Wyoming, Colorado, Utah and Arizona—often with the same interrelated group of capitalists. The two groups continually met in explosive confrontations in Montana, Michigan, Minnesota, and Arizona. To the Ivy League capitalists, Finns were terrorists who threatened the American social order. For the Finns, it was a war for social justice. In my presentation, I will trace the experience of Finnish workers in corporations controlled by Ivy League capitalists from the first strike at Calumet & Hecla in 1873 to the Red Scare of 1919-1921.

Finnish Americans and the Farm Revolt of the 1930s

Farm protest in the United States attracted widespread attention in the 1930s as militant farmers interfered with foreclosure sales, demonstrated at county court houses and state capitals, and blocked highways and stopped trains to prevent crops and livestock from going to market in an effort to raise farm prices. The best known of the protest groups was the Farmers Holiday Association, which was formed in 1932. Prior to the Holiday, however, a left-wing group organized by Communists in 1930 known as the United Farmers League (UFL) gained an initial following in the cutover country of the Upper Peninsula of Michigan, northern Wisconsin, northern Minnesota, and parts of the Dakotas and northeast Montana. Finnish Americans dominated the UFL in the Upper Midwest and in a few locales in the Dakotas. Evidence for this high level of influence comes from the fact that the head of the Communist Party’s Agrarian Department was Henry Puro, a key figure in Finnish American Communist circles and a member of the Party’s Politburo. This paper will focus on Finnish American involvement in the UFL and, to a lesser extent, the broader-based Farmers Holiday movement.

Towards greater accuracy in individual-tree mortality regression

Background mortality is an essential component of any forest growth and yield model. Forecasts of mortality contribute largely to the variability and accuracy of model predictions at the tree, stand and forest level. In the present study, I implement and evaluate state-of-the-art techniques to increase the accuracy of individual tree mortality models, similar to those used in many of the current variants of the Forest Vegetation Simulator, using data from North Idaho and Montana. The first technique addresses methods to correct for bias induced by measurement error typically present in competition variables. The second implements survival regression and evaluates its performance against the traditional logistic regression approach. I selected the regression calibration (RC) algorithm as a good candidate for addressing the measurement error problem. Two logistic regression models for each species were fitted, one ignoring the measurement error, which is the “naïve” approach, and the other applying RC. The models fitted with RC outperformed the naïve models in terms of discrimination when the competition variable was found to be statistically significant. The effect of RC was more obvious where measurement error variance was large and for more shade-intolerant species. The process of model fitting and variable selection revealed that past emphasis on DBH as a predictor variable for mortality, while producing models with strong metrics of fit, may make models less generalizable. The evaluation of the error variance estimator developed by Stage and Wykoff (1998), and core to the implementation of RC, in different spatial patterns and diameter distributions, revealed that the Stage and Wykoff estimate notably overestimated the true variance in all simulated stands, but those that are clustered. Results show a systematic bias even when all the assumptions made by the authors are guaranteed. I argue that this is the result of the Poisson-based estimate ignoring the overlapping area of potential plots around a tree. Effects, especially in the application phase, of the variance estimate justify suggested future efforts of improving the accuracy of the variance estimate. The second technique implemented and evaluated is a survival regression model that accounts for the time dependent nature of variables, such as diameter and competition variables, and the interval-censored nature of data collected from remeasured plots. The performance of the model is compared with the traditional logistic regression model as a tool to predict individual tree mortality. Validation of both approaches shows that the survival regression approach discriminates better between dead and alive trees for all species. In conclusion, I showed that the proposed techniques do increase the accuracy of individual tree mortality models, and are a promising first step towards the next generation of background mortality models. I have also identified the next steps to undertake in order to advance mortality models further.

Reflection, refraction, and rejection : copper smelting heritage and the execution of environmental policy

This dissertation examines the global technological and environmental history of copper smelting and the conflict that developed between historic preservation and environmental remediation at major copper smelting sites in the United States after their productive periods ended. Part I of the dissertation is a synthetic overview of the history of copper smelting and its environmental impact. After reviewing the basic metallurgy of copper ores, the dissertation contains successive chapters on the history of copper smelting to 1640, culminating in the so-called German, or Continental, processing system; on the emergence of the rival Welsh system during the British industrial revolution; and on the growth of American dominance in copper production the late 19th and early 20th centuries. The latter chapter focuses, in particular, on three of the most important early American copper districts: Michigan’s Keweenaw Peninsula, Tennessee’s Copper Basin, and Butte-Anaconda, Montana. As these three districts went into decline and ultimately out of production, they left a rich industrial heritage and significant waste and pollution problems generated by increasingly more sophisticated technologies capable of commercially processing steadily growing volumes of decreasingly rich ores. Part II of the dissertation looks at the conflict between historic preservation and environmental remediation that emerged locally and nationally in copper districts as they went into decline and eventually ceased production. Locally, former copper mining communities often split between those who wished to commemorate a region’s past importance and develop heritage tourism, and local developers who wished to clear up and clean out old industrial sites for other purposes. Nationally, Congress passed laws in the 1960s and 1970s mandating the preservation of historical resources (National Historic Preservation Act) and laws mandating the cleanup of contaminated landscapes (CERCLA, or Superfund), objectives sometimes in conflict – especially in the case of copper smelting sites. The dissertation devotes individual chapters to the conflicts that developed between environmental remediation, particularly involving the Environmental Protection Agency and the heritage movement in the Tennessee, Montana, and Michigan copper districts. A concluding chapter provides a broad model to illustrate the relationship between industrial decline, federal environmental remediation activities, and the growth of heritage consciousness in former copper mining and smelting areas, analyzes why the outcome varied in the three areas, and suggests methods for dealing with heritage-remediation issues to minimize conflict and maximize heritage preservation.