1,721,102 research outputs found

    FIGURATIVE LANGUAGE IN TIFFANY YOUNG, AMBER J. LIU AND JAY PARK SONGS LYRICS

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    ABSTRACT MOHAMAD MUNAF ADI. 2020. AN ANALYSIS OF FIGURATIVE LANGUAGE FOUND ON THE SONGS LYRIC OF TIFFANY YOUNG, AMBER J. LIU AND JAY PARK. A thesis: Jakarta, English literature Study Program, Faculty of Languages and Arts, State university of Jakarta The purpose of this research is to study and discuss the types of figurative language used in Tiffany Young, Amber J. Liu and Jay Park songs, expressing the message conveyed in Tiffany Young, Jay Park and Amber J. Liu songs in criticizing preparatory agencies dealing with artists in working in the k-pop world. This study uses the method of content analysis. Data collection instruments used documentation and direct observations which were then analyzed using simple linear correlation. The research results obtained will give some knowledge about figurative languages like: It will add knowledge about figurative language analyzing in Tiffany Young's, Jay Park and Amber J. Liu songs and add the literature in linguistics about figurative language. keywords: figurative language, amber liu, tiffany young, jay park, kpop, agency ABSTRAK MOHAMAD MUNAF ADI. 2020. ANALISIS BAHASA KIASAN YANG DITEMUKAN DALAM LIRIK LAGU AMBER J. LIU, TIFFANY YOUNG DAN JAY PARK. Skripsi: Jakarta, Program StudiSastraInggris, Fakultas Bahasa danSeni, UniversitasNegeri Jakarta Tujuandaripenelitianiniadalahuntukmengetahuidanmengidentifikasijenis-jenisbahasakiasan yang digunakandalamlagu-lagu Tiffany Young, Amber J. Liu dan Jay Park, mengungkapkanpesan yang disampaikandalamlagu-lagu Tiffany Young, Jay Park dan Amber J. Liudalammengkritikagensiketikamengurusartisnyadalamberkarya di duniakpop. Penelitianinimenggunakanmetodeanalisisisi. Instrumenpengumpulan data menggunakandokumentasidanobservasilangsung yang kemudiandianalisismenggunakankorelasi linier sederhana. Hasilpenelitian yang diperolehakanmemberikanbeberapapengetahuantentangbahasakiasanseperti: Iniakanmenambahpengetahuantentanganalisisbahasakiasandalamlagu Tiffany Young, Jay Park dan Amber J. Liu danmenambahkanliteraturdalamlinguistiktentangbahasakiasan. katakunci: bahasakiasan, amber liu, tiffany young, jay park, kpop, agens

    Studying the other or becoming the other: engaging with indigenous peoples in IS research

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    This panel is concerned with the ethics and politics of engagement with indigenous peoples in information systems research. As members of a research team that have been studying the use of social media by indigenous peoples to collaborate and further their cause, we have recently become aware of some of the unintended consequences of IS research. Since others could easily appropriate our findings for political purposes, we believe that we as IS researchers need to become more sensitive to the ways in which we study “the other” or engage with “the other.” Hence, the panelists will discuss and debate the nature and extent of a researcher’s engagement when studying indigenous peoples. The panel, chaired by Michael Myers, includes three panelists who have been studying indigenous peoples’ use of social media (Liz Davidson, Amber Young and Hameed Chughtai), and one panelist who is an indigenous scholar studying indigenous theories in IS (Pitso Tsibolane)

    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
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