Domestic Courts’ Reading of International Norms: A Semiotic Analysis

This article focuses on a number of cases in international law in which US domestic courts have produced judgments that conflict with those given by the International Court of Justice. The nature of these courts’ judgments has been extremely closely tied to the interpretation given by the US national Executive to a certain international norm. This situation raises a number of questions, which can be broadly categorized into two spheres: the legal (regarding the overall legality of the courts’ decisions) and the semiotic (regarding the manner in which a ‘meaning’ for the norm has been claimed by the courts). In this article we aim to provide answers to a number of these questions, both from the standpoint of international law and from that of a reader-response model of semiosis. We also analyse the level of interdependency that exists between the two spheres.     

Odor analysis of decomposing buried human remains

This study, conducted at the University of Tennessee's Anthropological Research Facility (ARF), lists and ranks the primary chemical constituents which define the odor of decomposition of human remains as detected at the soil surface of shallow burial sites. Triple sorbent traps were used to collect air samples in the field and revealed eight major classes of chemicals which now contain 478 specific volatile compounds associated with burial decomposition. Samples were analyzed using gas chromatography-mass spectrometry (GC-MS) and were collected below and above the body, and at the soil surface of 1.5-3.5 ft. (0.46-1.07 m) deep burial sites of four individuals over a 4-year time span. New data were incorporated into the previously established Decompositional Odor Analysis (DOA) Database providing identification, chemical trends, and semi-quantitation of chemicals for evaluation. This research identifies the "odor signatures" unique to the decomposition of buried human remains with projected ramifications on human remains detection canine training procedures and in the development of field portable analytical instruments which can be used to locate human remains in shallow burial sites.     

Leadership and the Transformation of a Major Institution: Charles Rossotti and the Internal Revenue Service

Charles Rossotti took the helm at the Internal Revenue Service in 1997 amid complaints of abuse of both IRS workers and taxpayers. Did he succeed at improving the agency’s image without sacrificing its principal mission to enforce the tax code fairly and effectively? This retrospective on Rossotti’s five‐year tenure suggests that he, his leadership team, and teams of IRS employees managed effective changes that substantially improved services to taxpayers and the administration of a beleaguered revenue‐collection system. His leadership offers valuable lessons and insights for administrators in all settings. Are there invaluable lessons that public administrators might learn from Rossotti’s management strategy?     

How does diversity affect public organizational performance? A meta-analysis

Research in public administration examining the effects of diversity on public organizational performance has produced mixed results. However, the lack of a comprehensive theoretical framework has failed to provide an explanation for the mixed diversity effects. This study introduces a systematic analytical model, Categorization-Elaboration Model (CEM), to help identify the contextual constructs which can promote the positive effects of diversity on public organizational performance. A meta-analysis is conducted on 37 quantitative studies to test the empirical validity of a CEM constructed theoretical model with 253 effect sizes which will promote a better understanding of the circumstances or contexts that lead to the benefits of diversity within public sector organizations. The empirical results of meta-regression point to the appropriate range of contextual factors which can alleviate the potential negative effects of diversity and promote its overall positive effects.     

Does campaign spending help voters learn about ballot measures?

What happens when a ballot measure becomes an orphan and there are no campaign expenditures for or against the measure? California's Proposition 91 provides one example of such a scenario and offers a rare opportunity to study what voters learn about a ballot measure in the absence of a campaign. Using an election survey, I assess what voters exiting the polling booth learned about Proposition 91 and compare it to what they learned about several other measures on the same ballot. My results suggest that even without a campaign, a large majority of voters still know a fact about Proposition 91. I also find that campaigns can greatly increase knowledge of the facts they choose to emphasize.     

Broadening Benefits from Natural Resource Extraction: Housing Values and Taxation of Natural Gas Wells as Property

We study the effects of the property tax base shock caused by natural gas drilling in the Barnett Shale in Texas—a state that taxes oil and gas wells as property. Over the boom and bust in drilling, housing appreciation closely followed the oil and gas property tax base, which expanded the total tax base by 23 percent at its height. The expansion led to a decline in property tax rates while maintaining or increasing revenues to schools. Overall, each $1 per student increase in the oil and gas property tax base increased the value of the typical home by $0.15. Some evidence suggests that the cumulative density of wells nearby may lower housing values, indicating that drilling could reduce local welfare without policies to increase local public revenues.     

Working Smarter on Cold Cases: Identifying Factors Associated with Successful Cold Case Investigations

Cold case squads have garnered much attention; however, they have yet to undergo significant empirical scrutiny. In the present study, the authors interviewed investigators and reviewed 189 solved and unsolved cold cases in Washington, D.C., to determine whether there are factors that can predict cold case solvability. In the interviews, new information from witnesses or information from new witnesses was cited as the most prevalent reason for case clearance. The case reviews determined that there were factors in each of the following domains that predicted whether cases would be solved during cold case investigations: Crime Context, Initial Investigation Results, Basis for Opening Cold Case, and Cold Case Investigator Actions. The results suggest that it is possible to prioritize cold case work based on the likelihood of investigations leading to clearances.