Composite Machine Learning Algorithm for Material Sourcing,

This study developed a composite machine learning algorithm for attribution of materials of forensic interest (like ammonium nitrate) to original sources. k-nearest neighbor and random forest models were used for source elimination and classification, respectively, in a two-step, composite algorithm based on particle color, size/shape, and trace element concentration features. Novel approaches for simulation to supplement within-source reference features based on empirically measured multi-lot analyses, an improved hold-one-lot-out method for cross-validation, an assessment of the likelihood of the presence of a reference sample, fusion of the source probabilities from the respective classification models, and the calculation of metrics for assessing ensemble sourcing performance are described. Excellent sourcing predictions were obtained; the sourcing algorithm identified the correct source as the top choice 89% of the time, and the correct source was identified to be an average of 2.7 times more likely than the most likely incorrect source.     

Judging the “Vapid and Hollow Charade”: Citizen Evaluations and the Candor of U.S. Supreme Court Nominees

Supreme Court confirmation hearings have been famously called a “vapid and hollow charade” by Elena Kagan. Indeed, perceptions of nominees’ refusal to answer questions about pending cases, prominent political issues, or give any hint of their ideological leanings have become a cornerstone of the modern confirmation process. We investigate the extent to which this reticence to speak of their ideological views, or candor, influences how individuals evaluate the nominee. To this end, we present the results of a survey experiment which examines how support for a hypothetical Supreme Court nominee is affected by information, especially when a nominee is presented to be very forthright or very reticent in answering ideological questions during the confirmation hearings. We find that while partisan compatibility with the president is the main determinant of support for a nominee, nominees who refuse to answer ideological questions can bolster support from respondents who would not support them on partisan grounds. We supplement these findings with observational state-level support data from real nominees over the last 40 years.     

Incentives in Third‐Party Governance: Management Practices and Accountability Implications

Contract incentives are designed to motivate contractor performance and to provide public managers with a powerful tool to achieve contract accountability. Our knowledge of contract incentives is rooted in contract design, yet as we move beyond contract specification and further into the contract lifecycle, we know little about why and how managers implement incentives. This study assesses public managers’ use of contract incentives in practice and advances theory development. A typology of contract incentives is constructed to capture a comprehensive range of formal and informal incentives, and the factors that influence managerial use of incentives are identified. The findings shed light on the complexities of maintaining accountability in third‐party governance structures and the management techniques aimed at improving the performance of public agencies.     

American Power: The Challenge Within

The main threat to continued American leadership abroad is social problems at home. These include poverty and the decline of the working class, both of them caused initially by falling levels of work and marriage. Policymakers have traditionally tried to counter these trends by changing social benefits and incentives, but the problems are really cultural, reflecting a decline in individualism. The best answer is more structured schools and social programs that promote the disciplines essential to a free society, especially working. Immigration should also be reduced and more money spent on education, to promote assimilation. Despite Donald Trump’s election, consensus has built supporting such measures.     

The Resource Curse Reconsidered: Cash Crops and Local Violence in Kyrgyzstan

It is often noted in resource curse literature that agricultural economies are less conflict-prone than countries managing mobile, high-value resources. In the vast literature linking resource endowment and conflict, cash crop economies are often considered immune to civil violence, believed to stand apart from the many horrific episodes of violence and civil war centered on “lootable” wealth (such as alluvial diamonds, tin, tungsten, or other conflict minerals). But many incidents of violence—especially local violence—are in fact occurring in cash crop economies. Drawing on newspaper accounts, policy analyses, ethnographic interviews, and in-depth reports by international organizations, I examine an episode of local violence in 2010 in Kyrgyzstan. Through this case study, the article provides a better understanding of local violence in cash crop economies that can apply to other weak states.     

The political economy of global firms from India and China

This article attempts to build a bridge between contemporary studies of global firms from emerging economies and existing theories in comparative political economy. It argues that given the primacy of the state as an economic actor in developing countries, the variety of capitalism literature could provide a theoretical foundation for firm-level analyses of emerging market multinationals. For example, the authors suggest that China and India may be moving towards a ‘hybrid market economy’. They also offer a typology of Indian and Chinese corporates to demonstrate an empirical approach to analysing domestic business–government relationships and the ways in which these firms are shaped by the peculiarities of their respective institutional setting. Finally, they identify some of the likely pitfalls of doing cross-national comparisons of emerging market multinationals, particularly with respect to the reliability of corporate data.     

Racial animosity and political party partisanship in South Africa: the case of the African National Congress and the Black African majority

As it is in many countries, racial rhetoric is a feature of South African national government elections. The use of such rhetoric provokes the question, how much is political party support in the country driven by interracial animosities? Using the nationally representative public opinion dataset, the South African Social Attitudes Survey, this article looks at party closeness to the African National Congress (ANC) amongst the black African population. The ANC is one of the oldest and most powerful political parties on the African continent and currently dominates South Africa’s parliamentary government. Constructing four indexes of racial attitudes and behaviours, the article investigates whether partisanship with the ruling party can be predicted by racial animosity. The period under investigation is 2010–2014. Bivariate and multivariate quantitative techniques are employed to test the relationship between ANC partisanship and racial animosity. The results of this investigation show that racial enmity in the country is troublingly widespread. Public opinion analysis, however, found no correlation between racial acrimony and ANC partisanship. Other factors are driving black African identification with the country’s ruling party. The implications of these results for the study for political party support in South Africa are discussed and future avenues of research presented.