Rethinking police education in the United States

ABSTRACT

Higher education for police in the United States began as police science and police administration in the early-to-middle 1900s but morphed into criminal justice starting in the 1960s, continuing in that mold to the present. This paper examines curricula at a handful of universities to provide a snapshot of U.S. police education today, illustrating that modern criminal justice programs do not focus very much on police at either the undergraduate or graduate level. The paper then considers alternative models that could provide students a more in-depth encounter with the now-robust policing body of knowledge, something that barely existed 50 years ago but could, at this point, serve as the foundation for a respectable and relevant academic and professional education.     

Eyewitness Identifications by Older and Younger Adults: A Meta-Analysis and Discussion

The current meta-analysis compared younger and older adult eyewitness identification accuracy and includes analyses designed to determine what witness and event factors might moderate any differences found. Results showed that, regardless of lineup type and perpetrator age, older eyewitnesses are reliably worse at making correct lineup decisions than younger eyewitnesses whether they are identifying perpetrators or rejecting perpetrator-absent lineups. Discussion of possible causes for this difference in identification accuracy is drawn from cognitive and social psychology literatures, and possible implications for future research and public policy are put forth.     

Transferring Health Technology to South Africa: The Importance of Traditional African Culture

The transfer of new health technology to South Africa is occurring despite the fact that North American and European health care planners and entrepreneurs have a very limited understanding of traditional Black South African cultures which condition the health-related behaviors of the majority of the population. Consequently, relatively few people of African descent in this very diverse nation are, at least initially, benefiting from the new imported medical technology. This study gives an overview of traditional Black medicine in South Africa and, through the presentation of several case studies, discusses its implications for the societal adoption of new health technology received from the United States and other industrialized nations. The example of the successful application of cervical cancer exams in rural and urban clinics of the Eastern Cape is analyzed and institutional mechanisms that support successful transfer are identified.     

New Public Management and Substantive Democracy

The authors are concerned that a remaining refuge of substantive democracy in America, the public sector, is in danger of abandoning it in favor of the market model of management. They argue that contemporary American democracy is confined to a shrunken procedural remnant of its earlier substantive form. The classical republican model of citizen involvement faded with the rise of liberal capitalist society in the late nineteenth and early twentieth centuries. Capitalism and democracy coexist in a society emphasizing procedural protection of individual liberties rather than substantive questions of individual development. Today's market model of government in the form of New Public Management goes beyond earlier "reforms," threatening to eliminate democracy as a guiding principle in public-sector management. The authors discuss the usefulness of a collaborative model of administrative practice in preserving the value of democracy in public administration.     

A Method of Automated Nonparametric Content Analysis for Social Science

The increasing availability of digitized text presents enormous opportunities for social scientists. Yet hand coding many blogs, speeches, government records, newspapers, or other sources of unstructured text is infeasible. Although computer scientists have methods for automated content analysis, most are optimized to classify individual documents, whereas social scientists instead want generalizations about the population of documents, such as the proportion in a given category. Unfortunately, even a method with a high percent of individual documents correctly classified can be hugely biased when estimating category proportions. By directly optimizing for this social science goal, we develop a method that gives approximately unbiased estimates of category proportions even when the optimal classifier performs poorly. We illustrate with diverse data sets, including the daily expressed opinions of thousands of people about the U.S. presidency. We also make available software that implements our methods and large corpora of text for further analysis.