1,720,960 research outputs found
Can you feel your research results? How to deal with and gain insights from emotions generated during oral history interviews
If emotion is inseparable from cognition, then the researcher’s feelings cannot be disconnected from the analytical process. This holds true for every kind of research, but it is particularly obvious when emotions themselves are the phenomenon under consideration (Probyn 2011; Bondi 2005). On the one hand, pretending to proceed in a completely objectivist fashion fails to acknowledge the effects emotions have on knowledge production, and thus renders them non-transparent. On the other hand, interpretations based on intuitive empathy and the assumption that researchers and research subjects share the same understanding of emotional phenomena can be equally misleading. Such a supposedly direct approach is particularly problematic in the history of emotions, which presumes that emotional patterns and practices change across time. Thus it is necessary, for example when interpreting oral history interviews, to differentiate between the reported emotion and the emotions that accompany the report. Simultaneously, one has to be aware of the interrelations between the feelings pertinent to the period under research and the emotions generated during the research process. These are intertwined by the intricate dynamics of memory, as well as by the (re)constructive historiographical endeavor itself. Thus, past and present emotions are distinct, yet not clearly separable from each other (Gammerl 2009). Instead of pushing aside these entanglements, or empathetically reducing their complexity, researchers should, rather, reflect upon them. In the following pages I will demonstrate the analytical potential of such contemplations by discussing three examples taken from my current research about homosexuality and emotional life in rural West Germany between 1960 and 1990. This oral history project is primarily interested in the change of emotional patterns and practices accompanying the gradual emancipation of lesbians and gays, or the growing normalization of homosexualities since the 1970s. By focusing, first, on emotional interactions between interviewee and interviewer; second, on the bodily display of feelings during the conversation; and third, on clashes between diverging emotional styles, I will show how fresh methodological perspectives on the emotions generated during the research process enable empirical insights that would otherwise have remained unexplored
"It's all in the plot":Narrative explorations of work-related emotions
This contribution examines how researchers may study work-related emotions in the field by listening carefully and engaging emotionally with stories and narratives that they encounter. The chapter starts with a recognition that emotion (pathos) is a crucial element of story (mythos), something noted a long time ago by Aristotle. Emotions may seem to surface and subside irregularly in the course of a story, a drama, or a conversation, but they have an inner logic that ties them to various plot-lines, such as tragic, comic, or epic. In particular, we examine how researchers can recreate the emotions of their respondents, as well as their own emotions in the field, by recollecting and re-engaging with significant stories as well as metaphors that punctuate their research material
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
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