1,721,616 research outputs found

    Erita Narhetali's Quick Files

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    The Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity

    Arts Education: An Unexpected Tool in the Quest for a Safer World

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    On April 23, 2021, Erita Lee Acham Chen presented Arts Education: An Unexpected Tool in the Quest for a Safer World at the 2021 CASIS Generation Z Congress. The presentation was followed by a moderated question and answer period. Key points of discussion included the current situation for township youths in South Africa, how performing arts non-governmental organizations (NGO) have provided vulnerable youths with a safe place, and how the skills learned in these programs have had a positive impact on their lives

    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

    Economic growth and unemployment an empirical evidence from Malaysia / Carol Erita Kichi

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    The economic growth is extremely important for the country to ensure the welfare and security of its people. A country that has shown an increase in the gross domestic product (GDP) proven that the countries is developing and it shows a good indication. Malaysia has an increasing value in GDP which shows a good indication towards its economy since its GDP is increasing year after year. However, severe unemployment would be detrimental to the country and it is very critical cases to be settled from ancient days. Unemployment is capable to causing economic collapse and cause the country to suffer. Besides that, it may also result that the foreign countries might also feel the collapse. Therefore, this study aims to see the causal relationship between unemployment and economic growth. This study is using the annual data from 1982 to 2010 from Malaysia. The relationship between unemployment and economic growth will be tested by using the Unit Root Test models. Co-integration, Vector Error Correction (VECM) and Granger Causality Causes. Besides that, this research identifies the causal relationship between each of the independent variables towards the economic growth in Malaysia. The Unit Root Test results show the stationary of the variables used in the study. The co-integration and Vector Error Correction (VECM) identifies the short-term relationship between the independent variables with the dependent variable and long-term relationship between the independent variables with the dependent variable, respectively. The Granger Causality Causes tests will results whether the dependent variable has been affect by independent variables or have bilateral relationship among the variables. The results show how a significant relationship between them

    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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