179,272 research outputs found

    Race riots on the beach: A case for criminalising hate speech?

    No full text
    noThis paper analyses the verbal and textual hostility employed by rioters, politicians and the media in Sydney (Australia) in December 2005 in the battle over Sutherland Shire¿s Cronulla Beach. By better understanding the linguistic conventions underlying all forms of maledictive hate, we are better able to address the false antimonies between free speech and the regulation of speech. It is also argued that understanding the harms of hate speech provides us with the tools necessary to create a more responsive framework for criminalising some forms of hate speech as a preliminary process in reducing or eliminating hate violence

    The development of signal transduction pathways during epididymal maturation is calcium dependent

    No full text
    Heath Ecroyd, Kelly L. Asquith, Russell C. Jones and R. John Aitkenhttp://www.elsevier.com/wps/find/journaldescription.cws_home/622816/description#descriptio

    Appropriate Similarity Measures for Author Cocitation Analysis

    No full text
    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

    “We will build a great wall”: domination, criminalization, and expatriation in Trump campaign and rally speeches

    No full text
    Given the import and impact of political campaign promises, this study systematically analyzed Donald Trump’s campaign and rally speeches using a typology of verbal-textual hostility (V.T.H.) developed by Asquith (2013) from criminal hate incidents in the United Kingdom. Trump used all forms of V.T.H. previously identified by Asquith, except for sexualization, and new forms that may be specific to the political context. Analysis of speeches from 2015–2018 revealed that expatriation, criminalization, and domination were the most frequently used forms of V.T.H. deployed by Trump, which we consider in relation to the historical, social, and political context and consequences

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

    No full text
    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    Going Beyond Counting First Authors in Author Co-citation Analysis

    No full text
    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

    Letter from R. R. Zellick, Assistant Trust Officer, Anglo California National Bank of San Francisco, to Joseph R. Goodman, October 2, 1942

    No full text
    Letter from R. R. Zellick, Assistant Trust Officer at The Anglo California National Bank of San Francisco, to Joseph R. Goodman, regarding property owned by Dave Tatsuno. Zellick mentions a dispute between current tenants and Tatsuno, and that Tatsuno has asked Goodman to help locate trustworthy tenants.Personal correspondence, organizational records, government documents, publications, and other papers created or collected by Joseph R. Goodman documenting the forced removal and incarceration of Japanese Americans during World War II, as well as organized resistance to incarceration. Included in the collection are records of the Japanese Young Men's Christian Association and the Japanese American Citizens' League in San Francisco, including papers of the Japanese YMCA's executive secretary Lincoln Kanai; Sakai family papers; Goodman's correspondence to and from Japanese American incarcerees, organizations opposing forced removal and incarceration of Japanese Americans, the War Relocation Authority, and others; publications, photographs, and ephemera from the Topaz Relocation Center, where Goodman taught high school; War Relocation Authority records and publications; and newspaper clippings, pamphlets, and reports about forced removal and incarceration created by various government, religious, and civic organizations, in California and nationwide

    Dispelling the Myths Behind First-author Citation Counts

    No full text
    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

    Univariate Distributional Analysis with L-moment Statistics using R

    No full text
    This dissertation is the most complete account, to date, of L-moment statistics in the context of univariate distributional analysis using an open-source programming environment---the R environment. The target audience are engineers/scientists with limited backgrounds in statistics and computer programming but with responsibilities in analyzing highly non-Normal, skewed, or heavy-tailed data. The dissertation is written in continuous narrative and is oriented around the software package "lmomco" previously written by the author but tremendously expanded and refined for the dissertation. The dissertation covers an introduction to R and cites the extensive book-literature on R. The dissertation covers, by a large-scale coupling of source code to typeset mathematics, a myriad of topics including quantile functions, order statistics, product moments, probability-weighted moments (PWMs), censored PWMs, L-moments (censored/trimmed), L-comoments, and numerous probability distributions including the two-parameter Cauchy, Exponential, Normal, Gamma, Gumbel, reverse Gumbel, Kumaraswamy, Rayleigh, and Rice; the three-parameter Generalized Extreme Value, Generalized Logistic, Generalized Normal, Generalized Pareto (GPA), right-censored (RC) GPA, trimmed GPA, Pearson Type III, and Weibull; four- and more parameter distributions including the Kappa, Generalized Lambda (GLD), trimmed GLD, and Wakey; and the method of L-moments and method of PWMs for these distributions. L-moment ratio diagrams are thoroughly described and demonstrated in application. Venerable statistics such as Sen Weighted Mean and Gini Mean Difference are considered as are emergent statistics such as Copulas. Extensive simulation studies are shown via code examples and the results are often depicted in figures; these studies demonstrate the reliability of the examples and lmomco by demonstrating consistency with results with the literature. Topical case studies of regional distributional analysis of hydrometeorologic data are shown to guide readers. Particularly new developments by the author (inclusive of newly developed R code following prior literature results) include censored PWMs and L-moments by censoring fraction, threshold, and indicator; the Cauchy, Kumaraswamy, Rayleigh, Rice, trimmed GPA, and RC-GPA distributions; L-comoments in context of Copulas; and theoretical (non-sample) computation of L-moments. Finally, the dissertation provides more than 240 code examples, more than 510 numbered equations, a thorough topical index, and an index of more than 420 R functions used in the examples

    The non-commutative standard model

    No full text
    In this work aspects of the classical Connes-Lott non-commutative standard model are examined. In particular the relationship between the chiral structure of the standard model and the condition of Poincaré Duality is investigated. Then the natural prediction of an additional force in the non-commutative standard model is explained and the consequences calculated. Finally the attempts at grand unification within the non-commutative framework are reviewed and extended
    corecore