1,721,575 research outputs found

    Book Review: Victims of Crime and Community Justice Brian Williams (2005) London: Jessica Kingsley

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    Reviews the book, Victims of Crime and Community Justice by Brian Williams (2005). This book begins with a broad overview of the development of victim focus in criminal justice policy in the UK, the EU and beyond. It incorporates an analysis of how community justice measures and restorative justice have responded to the need for a 'rebalancing' of criminal justice policy to take account of victims' and witnesses' needs. In this account, the author explores the notion that the line between victim and offender is not always clear-cut, and then discusses how criminal justice policy is attempting to respond to this. To balance the demonstration of challenges and problems faced in implementing restorative justice, the author provides useful examples of 'successful innovations', including family group conferences, apologies from offenders and peace committees. His accessible style makes this a useful addition for those needing to understand better how victims fit into the new community justice approaches, incorporating restorative justice and witness support. His insightful and interesting consideration of 'hidden' victims of corporate crime and injustice and human trafficking makes this a valuable contribution to the field of victimology and a useful text for a broad audience. (PsycINFO Database Record (c) 2010 APA, all rights reserved

    Gaffe seekers: political operatives dig up campaign sludge

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    An episode of NBC's Rock Center with Brian Williams, researching gaffe seekers, who provide the fodder that both Rush Limbaugh and Jon Stewart run with. From Media Matters to the Media Research Center, Ted Koppel takes us inside the industry where gaffe snews-lit-media/misc-videosx264.mp4The work(s) contained within this record have been analyzed and cataloged by members of the University Libraries' Resource Management Division.Center for News Literacy

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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

    Dispelling the Myths Behind First-author Citation Counts

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    We 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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used

    Finite Horizon Control Design for Optimal Discrimination between Several Models

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    Multiple-Model fault detection is a powerful method for detecting changes, such as faults, in dynamic systems. In many cases, the ability of such a detection scheme to distinguish between possible models for the system dynamics depends critically on the control inputs applied to the system. Prior work has therefore aimed to design control inputs in order to improve fault detection. We previously developed a new method that uses constrained finite horizon control design to create control inputs that minimize an upper bound on the probability of model selection error. This method is limited, however, to the problem of selection between two models. In this paper we describe a new method that extends this approach to handle an arbitrary number of models. By optimizing subject to hard constraints, the new method can ensure that a defined task is fulfilled, while optimally discriminating between models. This means that the discrimination power of the designed control input can be much greater than that created by other approaches, which typically design ‘auxiliary’ signals with limited power so that the effect on the system state is small. Furthermore, the optimization criterion, which is an upper bound on the probability of model selection error, has a more meaningful interpretation than alternative approaches that are based on information gain, for example.We demonstrate the method using an aircraft fault detectionscenario and show that the new method significantly reducesthe bound on the probability of error when compared to amanually generated identification sequence and a fuel-optimalsequence
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