An Examination of Jury Verdicts for Evidence of a Similarity-Leniency Effect,an Out-Group Punitiveness Effect or a Black Sheep Effect

Archival data from cases adjudicated by jury in El Paso and Bexar County, Texas, were used to test whether a similarity-leniency effect, an out-group punitiveness effect, or a black sheep effect (BSE; J. M. Marques, V Y. Yzerbyt, & J. P. Leyens, 1988) influenced jury decisions. Defendant ethnicity, jury ethnic composition, and strength of evidence against the defendant were coded for 418 closed noncapital, felony cases to test their impact on trial verdicts and sentence lengths. Results indicated complex relations exist among juror and defendant characteristics and their influence on trial outcomes. No support was found for any of the theoretical models as predictors of jury decision-making. Strength of evidence was the most influential variable for both verdicts and length of sentences. Case strength, defendant ethnicity, and jury composition were related to sentence lengths.     

Death during theft from electric utilities

Utilities that supply power are subject to theft of service and theft of hardware used to provide service. Individuals who try to steal from a power utility risk electrocution. We conducted a retrospective study of all individuals examined by the Jefferson County Coroner Medical Examiner Office from January 1981 through December 2001 and found that 8 individuals died trying to steal from a power utility. All decedents were men, with an average age of 33 years. Seven decedents were stealing copper, and 1 was stealing electricity. Only 1 decedent survived long enough to be admitted to a hospital. Five decedents were intoxicated, 3 with ethanol, 1 with cocaine, and 1 with both cocaine and ethanol. Seven decedents sustained electrical burns in keeping with the high voltage to which they were subjected. The unburned decedent died of laceration of the aorta at its origin from the heart, an injury sustained when the decedent fell from the power pole. All 8 decedents attempted their theft during daylight. Items found in the decedent's pockets, the presence of a ladder nearby, or the presence of electrical tools around the body may help to establish the attempted act of theft.     

Institutional Actors in the Brazilian Amazon: Possibilities for NGO and Public Sector Collaboration in Rural Agriculture

Public sector institutions in Amazonian Brazil are experiencing structural reforms, budget cuts, and overburdened missions. Services needed to support appropriate resource use practices by rural farmers are gradually being provided by NGOs where the public sector has failed to provide them. But local NGOs are institutionally weak, and their activities are poorly coordinated with other regional service providers. This article analyzes three models for NGO organization and partnership that were designed outside of the Amazon region, and tests their applicability to the small-farming sector in Pará State in the eastern Brazilian Amazon. With some adaptation, these models can effectively help coordinate three overarching needs in the region: institutional strengthening, regional planning, and improving program effectiveness and efficiency.     

What determines the value of life? a meta‐analysis

A large literature has developed in which labor market contracts are used to estimate the value of a statistical life (VSL). Reported estimates of the VSL vary substantially, from less than $100,000 to more than $25 million. This research uses meta‐analysis to quantitatively assess the VSL literature. Results from existing studies are pooled to identify the systematic relationships between VSL estimates and each study's particular features, such as the sample composition and research methods. This meta‐analysis suggests that a VSL range of approximately $1.5 million to $2.5 million (in 1998 dollars) is what can be reasonably inferred from past labor‐market studies when “best practice” assumptions are invoked. This range is considerably below many previous qualitative reviews of this literature. © 2002 by the Association for Public Policy Analysis and Management.