1,720,964 research outputs found
Producing Bias-Free Policing:A Science-Based Approach /
No full textThis Brief provides specific recommendations for police professionals to reduce the influence of implicit bias on police practice, which will improve both effectiveness (in a shift towards evidence-based, rather than bias-based) practices and police legitimacy. The author is donating her proceeds from this book to the National Law Enforcement Officers Memorial Fund (nleomf.org).
The Influence of Suspect Race and Ethnicity on Decisions to Shoot in a Deadly Force Judgment and Decision-Making Simulator
Full text linkThesis (Ph.D.), Department of Criminal Justice and Criminology, Washington State UniversityConcern that the status characteristics of suspects influence police use of deadly force has generated substantial during the past several decades. Previous research based on incident reports of police shootings and experimental research using substantially less realistic stimuli prompts has supported two, contrasting hypotheses: (1) that police in the United States disproportionally shoot Black suspects because of racial bias, or (2) that police disproportionally shoot Black suspects because they were more likely than Whites to constitute a threat. This goal of this dissertation was to shed empirical light on these competing hypotheses by advancing the methodological techniques used to examine the influence of suspect status characteristics on police use of deadly force. After developing and testing a novel set of sixty realistic, high definition video deadly force scenarios based on thirty years of official data on officer-involved shooting in the United States, three experiments were conducted testing participant responses to the scenarios in computerized simulators. In each experiment, participants were presented with White, Black and Hispanic suspects in potentially deadly situations. In the first experiment (n = 24), we found that participants took longer to shoot Black suspects than White or Hispanic suspects, were more likely to shoot unarmed White suspects than unarmed Black or Hispanic suspects, and were more likely to fail to shoot armed Black suspects than armed White or Hispanic suspects. In the second experiment (n = 48), we found that participants experienced higher levels of neurophysiological arousal in response to Black suspects than White or Hispanic suspects, but still took longest to shoot Black suspects. In the third experiment (n = 30), we found that across both fatigued and rested conditions participants took longer to shoot Black suspects than White or Hispanic suspects, and were more likely to shoot unarmed White suspects than unarmed Black or Hispanic suspects. In sum, this research demonstrated that neither of the two dominant hypotheses is sufficient to explain racial and ethnic bias in police use of deadly force. Despite evidence of implicit racial bias, participants displayed significant bias favoring Black suspects in their decisions to shoot. The results of these three experiments using a more externally valid research design have challenged the results of less robust experimental designs and have shed additional light on the broad issue of the role that status characteristics play in the criminal justice system. Future research should assess whether this finding holds among other populations of research subjects, determine whether bias favoring Black suspects is a consequence of administrative measures (e.g., education, training, policies and laws), and identify the cognitive processes that underlie this phenomenon.Department of Criminal Justice and Criminology, Washington State Universit
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Understanding race data from vehicle stops: A stakeholder’s guide
No full textThe purpose of this guide is to help the targeted stakeholder groups meet two important responsibilities. First, they need to develop an understanding of both the potential and constraints associated with data collection; stakeholders need to know what conclusions can and cannot be drawn from the data
Was That Use of Force Reasonable? The Public Doesn’t Know
No full textThere is a gap between what community members believe is reasonable use of force and what the law defines as reasonable. This divide has led to significant consequences for police departments across the country and society as a whole.
In the current study, community members’ assessments of force reasonableness aligned with the legal standard on use of force only about half of the time, partly because legally irrelevant factors influenced their assessments.
To reduce the divide between community and legal standards on use of force, police leaders can provide community education, revise departmental policy, and/or deliver de-escalation training
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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