1,720,953 research outputs found
Donald Trump’s political campaign rhetoric. A cognitive study
Politicians recruit conceptual metaphors, as these means enable them to talk about abstract political problems in terms of more tangible and commonplace entities. This study aims to explore linguistic aspects of Trump’s presidential campaign and is conducted in light of premises derived from Critical Discourse Analysis and Critical Metaphor Theory. The selected speeches were analyzed using a corpus research tool, i.e. Metaphor Identification Process was implemented. Donald Trump’s campaign speeches were retrieved from internet sources. The period from January 24th, 2015 to October 20th, 2016 was chosen for compiling the primary corpus of 20 speeches. The qualitative analysis indicates that the President used metaphorical expressions frequently. The author of the article enumerates some grand metaphorical themes underlying Donald Trump’s campaign speeches.Martyna Awier is a PhD student at the University of Białystok, Poland. Her academic interests are in the areas of cognitive linguistics and discourse studies. Her current research focuses on conceptual metaphors and Critical Discourse Analysis.University of BiałystokBarczewska, S. 2017. Conceptualizing Evolution Education. A Corpus-Based Analysis of US Press Discourse. Newcastle upon Tyne: Cambridge Scholars Publishing.Beard, A. 2000. The Language of Politics. London: Routledge.Bloch, M. (ed.). 1975. Political Language and Oratory in Traditional Society. London/New York/San Francisco: Academic Press.Cameron, L. 2010. The discourse dynamics framework for metaphor. In: L. Cameron & R. Maslen (eds.), Metaphor Analysis. Research Practice in Applied Linguistics, Social Sciences and the Humanities, 77-98. London, Oakville: Equinox.Cap, P. 2008. Towards the proximization model of the analysis of legitimization in political discourse. Journal of Pragmatics 40: 17-41.Charteris-Black, J. 2004. Corpus Approach to Critical Metaphor Analysis. Basingstoke: Palgrave MacMillan.Charteris-Black, J. 2005. Corpus Politicians and Rhetoric. The Persuasive Power of Metaphor. Basingstoke: Palgrave MacMillan.Chilton, P. & Lakoff, G. 1989. Foreign policy by metaphors. Center for Research in Language 3/5: 2-19.Cienki, A. 2005. Metaphor in the ‘Strict Father’ and ‘Nurturant Parent’ cognitive models: Theoretical issues raised in an empirical study. Cognitive Linguistics 16: 279-312.Deignan, A. 2005. Metaphor and Corpus Linguistics. Amsterdam: John Benjamins.Fabiszak, M. 2010. Vilification of the enemy: Different enemies, the same linguistic strategies. In: D. Stanulewicz, T. Wolański & J. Redzimska (eds.), Lingua Terra Cognita II: A Festschrift for Professor Roman Kalisz, 73-97. Gdańsk: Wydawnictwo Uniwersytetu Gdańskiego.Fabiszak, M. & Konat, B. 2013. Zastosowanie korpusów językowych w językoznawstwie kognitywnym. In: P. Stalmaszczyk (ed.), Metodologie językoznawstwa. Ewolucja języka. Ewolucja teorii językoznawczych, 131-142. Łódź: Wydawnictwo Uniwersytetu Łódzkiego.Gibbs, R. W. 2017. Metaphor Wars. Conceptual Metaphors in Human Life. New York: Cambridge University Press.Górska, E. 2008. Four arguments for patterns of metaphorical thought. Acta Philologica 35: 15-31.Górska, E. 2014. Dynamiczne podejście do metafory. Prace Filologiczne LXIV/2: 109-122.Grey, W. 2000. Metaphor and meaning. Minerva 4: 1-8.Lakoff, G. 2002. Moral Politics. How Liberals and Conservatives Think. Chicago: University of Chicago Press.Lakoff, G. 2004. Don’t Think of an Elephant!: Know Your Values and Frame the Debate – The Essential Guide for Progressives. White River Junction. Vermont: Chelsea Green Publishing Company.Lakoff, G. 2006. Thinking Points: Communicating Our American Values and Vision. New York: Farrar, Straus and Giroux.Lakoff, G. 2008. The neural theory of metaphor. In: R. Gibbs (ed.), The Cambridge Handbook of Metaphor, 17-38. Cambridge/New York: Cambridge University Press.Lakoff, G. 2016a. How to help Trump. http://georgelakoff.com/2016/12/15/how-to-helptrump/ (2 May 2019).Lakoff, G. 2016b. Understanding Trump’s use of language. http://georgelakoff.com/2016/08/19/understanding-trumps-use-of-language/ (2 May 2019).Lakoff, G. 2017. The president is the nation: The central metaphor Trump lives By. http://georgelakoff.com/2017/08/01/the-president-is-the-nation-the-central-metaphor-trump-lives-by/ (2 May 2019).Lakoff, G. & Johnson, M. 1980. Metaphors We Live By. Chicago: University of Chicago Press.Pragglejaz Group. 2007. MIP: A method for identifying metaphorically used words in discourse. Metaphor and Symbol 22/1: 1-39.Turner, M. 1994. Reading Minds: The Study of English in the Age of Cognitive Science. Princeton, NJ: Princeton University Press.Van Dijk, T. A. 1997. What is political discourse analysis? Belgian Journal of Linguistics 11: 11-52.Wodak, R. 2009. Language and politics. In: J. Culpeper, F. Katamba, P. Kerswill, R. Wodak & T. McEnery (eds.), English Language: Description, Variation and Context. A definitive new textbook in English language, 577-592. Houndmills: Palgrave Macmillan.27 (4/2019)42
Book Review. The L1 as a consciousness-raising tool in learning L2 grammar, by Aleksandra Wach, 2019
Obra ressenyada: Wach, Aleksandra. The L1 as a consciousness-raising tool in learning L2 grammar. Poznań, WydawnictwoNaukowe UAM, 2019. 574 pp. ISBN 978-83-232-3401-2
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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