1,720,965 research outputs found

    Using crime science for understanding and preventing theft of metal from the British railway network

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    Metal theft has emerged as a substantial crime problem, causing widespread disruption and damage in addition to the loss of metal itself, but has been the subject of little research. This thesis uses the paradigm of crime science to analyse the problem, focusing on thefts from the railway network in Great Britain. Two theoretical concepts are used: crime scripts and the routine-activities approach. Police-recorded crime and intelligence data are used to develop a crime script, which in turn is used to identify features of the problem a) analysis of which would potentially be useful to practitioners seeking to understand and prevent metal theft, and b) for which sufficient data are available to make analysis practical. Three such features are then analysed in more detail. First, spatial and temporal distributions of metal theft are analysed. Metal theft appears to differ from other types of acquisitive crime in ways potentially useful for prevention, for example in clustering outside (but close to) cities, and in exhibiting significant repeat victimisation over a longer period than found for other crimes. Second, the potential crime-prevention value of the market-reduction approach is analysed by testing for clusters of thefts close to the locations of scrap-metal dealers. Scrap-yard locations are found to be a significant predictor of local thefts, controlling for metal availability, area accessibility, and density of population and industry. Third, the involvement of organised crime groups (OCGs) in metal theft is tested. Due to the difficulty of defining and measuring organised crime, multiple approaches are used: all show OCG involvement to be rarer than official estimates previously suggested. The implications of these findings for practitioners are discussed. The thesis also considers the relevance of the results for the use of crime science and the analysis of OCGs

    The Open-Access Availability of Criminological Research to Practitioners and Policy Makers

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    Criminology produces policy-relevant research and criminologists often seek to influence practice, but most criminological research is confined to expensive subscription journals. This disadvantages researchers in the global south, policy makers and practitioners who have the skills to use research findings but do not have journal subscriptions. Open access seeks to increase availability of research, but take-up among criminologists has been low. This study used a sample of 12,541 articles published in criminology journals between 2017 and 2019 to estimate the proportion of articles available via different types of open access. Overall 22% of research was available to non-subscribers, about half that found in other disciplines, even though authors had the right to make articles open without payment in at least 95% of cases. Open access was even less common in many leading journals and among researchers in the United States. Open access has the potential to increase access to research for those outside academia, but few scholars exercise their existing rights to distribute freely the submitted or accepted versions of their articles online. Policies to incentivise authors to make research open access where possible are needed unlock the benefits of greater access to criminological research

    Initial evidence on the relationship between the coronavirus pandemic and crime in the United States

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    The COVID-19 pandemic led to substantial changes in the daily activities of millions of Americans, with many businesses and schools closed, public events cancelled and states introducing stay-at-home orders. This article used police-recorded open crime data to understand how the frequency of common types of crime changed in 16 large cities across the United States in the early months of 2020. Seasonal auto-regressive integrated moving average (SARIMA) models of crime in previous years were used to forecast the expected frequency of crime in 2020 in the absence of the pandemic. The forecasts from these models were then compared to the actual frequency of crime during the early months of the pandemic. There were no significant changes in the frequency of serious assaults in public or (contrary to the concerns of policy makers) any change to the frequency of serious assaults in residences. In some cities, there were reductions in residential burglary but little change in non-residential burglary. Thefts of motor vehicles decreased in some cities while there were diverging patterns of thefts from motor vehicles. These results are used to make suggestions for future research into the relationships between the coronavirus pandemic and different crimes

    Changes in Police Calls for Service During the Early Months of the 2020 Coronavirus Pandemic

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    The coronavirus pandemic poses multiple challenges for policing, including the need to continue responding to calls from the public. Several contingency plans warned police to expect a large and potentially overwhelming increase in demand from the public during a pandemic, but (to the author’s knowledge) there is no empirical work on police demand during a major public health emergency. This study used calls-for-service data from 10 large cities in the USA to analyse how calls for service changed during the early months of the 2020 COVID-19 outbreak, compared to forecasts of call volume based on data from previous years. Contrary to previous warnings, overall the number of calls went down during the early weeks of the pandemic. There were substantial reductions in specific call types, such as traffic collisions, and significant increases in others, such as calls to dead bodies. Other types of calls, particularly those relating to crime and order maintenance, continued largely as before. Changes in the frequency of different call types present challenges to law enforcement agencies, particularly since many will themselves be suffering from reduced staffing due to the pandemic. Understanding changes to calls in detail will allow police leaders to put in place evidence-based plans to ensure they can continue to serve the public

    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

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