"Suffragettes of the Harem": The Evolution of Sympathy and the Afterlives of Sentimentality in American Feminist Orientalism, 1865-1920

This project examines narrative encounters in space identified as “harem,” produced by authors with biographical ties to the vanguard of the American Suffrage Movement. I regard these feminists’ circulations East, to the domestic space of the Other, as a hitherto unstudied, yet critical component of transnationalism in the history of U.S. Suffrage. This literary record also crucially reveals the extent to which sentimentality was plotted as a potential force for the reform of other cultures. An urge to sympathize denied in the space of the harem illustrates the colonial anxieties that subtended sentimentality’s prospective deployment beyond national borders. In five chapters on the work of Anna Leonowens, Susan Elston Wallace, Demetra Vaka Brown, Charlotte Perkins Gilman, and Edith Wharton, I examine how Suffrage-minded authors writing the harem strategically abandon an activist praxis of fellow feeling. Such a reluctance to transform sentimental literature into a colonial literature consequently informs that genre’s postbellum decline. The sentiments that run dry for American feminists in the harem additionally foreground the costly failures of Wilsonian Idealism, a doctrine that appropriated a discourse of sentimentality in order to script the United States’ expanded involvement in global affairs.

Bayesian Emulation for Sequential Modeling, Inference and Decision Analysis

The advances in three related areas of state-space modeling, sequential Bayesian learning, and decision analysis are addressed, with the statistical challenges of scalability and associated dynamic sparsity. The key theme that ties the three areas is Bayesian model emulation: solving challenging analysis/computational problems using creative model emulators. This idea defines theoretical and applied advances in non-linear, non-Gaussian state-space modeling, dynamic sparsity, decision analysis and statistical computation, across linked contexts of multivariate time series and dynamic networks studies. Examples and applications in financial time series and portfolio analysis, macroeconomics and internet studies from computational advertising demonstrate the utility of the core methodological innovations.

Chapter 1 summarizes the three areas/problems and the key idea of emulating in those areas. Chapter 2 discusses the sequential analysis of latent threshold models with use of emulating models that allows for analytical filtering to enhance the efficiency of posterior sampling. Chapter 3 examines the emulator model in decision analysis, or the synthetic model, that is equivalent to the loss function in the original minimization problem, and shows its performance in the context of sequential portfolio optimization. Chapter 4 describes the method for modeling the steaming data of counts observed on a large network that relies on emulating the whole, dependent network model by independent, conjugate sub-models customized to each set of flow. Chapter 5 reviews those advances and makes the concluding remarks.

Survival of a Perverse Nation: Sexuality and Kinship in Post-Soviet Armenia

Survival of a Perverse Nation traces the ways in which contemporary Armenian anxieties are congealing into the figure of the “homosexual.” As in other post-Soviet republics, homosexuality has increasingly become defined as the crisis of the times, and is understood by many as a destructive force linked to European encroachment. In Armenia, a growing right-wing nationalist movement since 2012 has been targeting LGBT and feminist activists. I suggest that this movement has arisen out of Armenia’s concerns regarding proper social and biological reproduction in the face of high rates of emigration of especially men in search of work. Many in the country blame this emigration on a post-Soviet oligarchy, with close ties to the government. This oligarchy, having quickly and massively privatized and liquidated industry and land during the war over the region of Nagorno-Karabagh (1990-1994) with Azerbaijan, created widespread un(der)employment. A national narrative attributing the nation’s survival of the 1915 Genocide and dispersion of its populations to strong morality preserved by institutions such as the Church and the family has now, in the post-Soviet era, ruptured into one of moral “perversion.” This dissertation is based on 15 months of ethnographic research, during which I participated in the work of two local non-governmental organizations: Public Information and Need for Knowledge, an LGBT rights organization and Women’s Resource Center, a feminist organization. I also conducted interviews with 150 households across Yerevan, the capital city, and did in-depth interviews with other activists, right-wing nationalists and journalists. Through psychoanalytic frameworks, as well as studies of kinship, I show how sovereignty – the longed for dream for Armenians over the last century – is felt to have failed because of the moral corruption of the illegitimate figures that fill Armenian seats of authority. I, thus, examine the ways in which a missing father of the household is discursively linked to the lack of strong leadership by a corrupt government, producing a prevalent feeling of moral disintegration that nationalists displace onto the “homosexual.”

Latent Space and Social Psychological Models of Diffusion

The problem of social diffusion has animated sociological thinking on topics ranging from the spread of an idea, an innovation or a disease, to the foundations of collective behavior and political polarization. While network diffusion has been a productive metaphor, the reality of diffusion processes is often muddier. Ideas and innovations diffuse differently from diseases, but, with a few exceptions, the diffusion of ideas and innovations has been modeled under the same assumptions as the diffusion of disease. In this dissertation, I develop two new diffusion models for "socially meaningful" contagions that address two of the most significant problems with current diffusion models: (1) that contagions can only spread along observed ties, and (2) that contagions do not change as they spread between people. I augment insights from these statistical and simulation models with an analysis of an empirical case of diffusion - the use of enterprise collaboration software in a large technology company. I focus the empirical study on when people abandon innovations, a crucial, and understudied aspect of the diffusion of innovations. Using timestamped posts, I analyze when people abandon software to a high degree of detail.

To address the first problem, I suggest a latent space diffusion model. Rather than treating ties as stable conduits for information, the latent space diffusion model treats ties as random draws from an underlying social space, and simulates diffusion over the social space. Theoretically, the social space model integrates both actor ties and attributes simultaneously in a single social plane, while incorporating schemas into diffusion processes gives an explicit form to the reciprocal influences that cognition and social environment have on each other. Practically, the latent space diffusion model produces statistically consistent diffusion estimates where using the network alone does not, and the diffusion with schemas model shows that introducing some cognitive processing into diffusion processes changes the rate and ultimate distribution of the spreading information. To address the second problem, I suggest a diffusion model with schemas. Rather than treating information as though it is spread without changes, the schema diffusion model allows people to modify information they receive to fit an underlying mental model of the information before they pass the information to others. Combining the latent space models with a schema notion for actors improves our models for social diffusion both theoretically and practically.

The empirical case study focuses on how the changing value of an innovation, introduced by the innovations' network externalities, influences when people abandon the innovation. In it, I find that people are least likely to abandon an innovation when other people in their neighborhood currently use the software as well. The effect is particularly pronounced for supervisors' current use and number of supervisory team members who currently use the software. This case study not only points to an important process in the diffusion of innovation, but also suggests a new approach -- computerized collaboration systems -- to collecting and analyzing data on organizational processes.

Is Rapid Adaptation to New Environments Fueled by Old Mutations? A Case Study of Copper Tolerance on Mimulus guttatus

Rapid adaptation and tolerance is a phenomenon experienced by a variety of organisms typically because of new and harsh environments. Mimulus guttatus, a plant commonly seen on the west coast of the United States, is a prime example as it has rapidly evolved to soil contamination by copper due to mining in California in the last 150 years. There have been two hypotheses posed by researchers as to the genetic basis of how organisms have evolved so quickly which I set out to study: 1) There is a low frequency of tolerant genotypes in the ancestral population otherwise known as standing variation or 2) new mutations occurred once exposed to a new environment. In the past, researchers found it difficult to distinguish between the two because they lacked the technology we have today for DNA analysis. I used four different populations of M. guttatus from varying locations in order to address which hypothesis was valid. I conducted both survival assays of these populations and DNA analysis of known tolerant and non-tolerant lines using a copper oxidase gene. I found that there was at least some degree of tolerance in all populations in the survival assays, supporting the hypothesis of standing variation. I also found patterns within DNA analysis suggesting the copper oxidase gene would be useful for further study to verify the standing variation hypothesis. The results from this experiment helps in understanding rapid evolution not just in the context of soil contamination by metals but also ties back to why an alarming number of species are not able to adapt to our constantly changing world.

The Philippines in the Electronics & Electrical Global Value Chain

This report uses the Duke CGGC global value chain (GVC) framework to examine the role of the Philippines in the global electronics & electrical (E&E) industry and identify opportunities to upgrade. Electronics and electrical equipment have played an important role in the Philippine economy since the 1970s and form the foundation of the country’s export basket today. In 2014, these sectors accounted for 47% of total exports from the Philippines at US$28.8 billion, of which 41% was from electronics, and 6% from electrical products. From a global perspective, while the Philippines is not the leading exporter in any particular product category, it is known for its significant number of semiconductor assembly and test (A&T) facilities. The global economic crisis (2008-09), combined with the exit of Intel (2009), had a significant negative impact on electronics exports and, although steadily increasing, they have not yet rebounded to pre-crisis levels. Nonetheless, investment in the E&E industries has picked up since 2010; in the past five years, there have been 110 new investments in these sectors. Another positive sign is the low exit rate; with the exception of Intel, companies that have invested in the Philippines have stayed, with several operations dating back to the late 1970s and 1980s. These firms have not only stayed, but have continued to grow and expand in the country due to the quality of the workforce and satisfaction with the Philippine Economic Zone Authority (PEZA) environment. The growth of the industry has significantly benefited from foreign investment and close ties with Japanese firms.