1,720,956 research outputs found

    The Robot-Gender Divide: How and Why Men and Women Differ in Their Attitudes Toward Social Robots

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    Recent developments foretell that social robots will soon become an integral part of everyday life, offering companionship and intimate closeness of different kinds. While research thus far is limited in scope and data, the current research offers two studies into how and why gender affects social robots' acceptance among European and American participants. Study 1 (N = 26,344) is used to identify overall patterns, while Study 2 (N = 426), divided into quantitative and qualitative analyses, is used to investigate specific differences in accepting four types of robots: helpers, companions, lovers, and sex partners. Results show that women have significantly less positive attitudes toward social robots as lovers and sex partners than men. The qualitative analyses of Study 2 show that this is due to women seeing such robots more negatively in terms of social norms, psychological health, morality, and functionality. The study further offers an axis system, on which attitudes toward robots can be theorized and examined

    Aging, Marital Status, and Loneliness: Multilevel Analyses of 30 Countries

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    Using the European Social Survey and the UN databases, this paper investigates the differences in feelings of loneliness among different marital status groups in old age. Findings presented in this paper suggest that married elders are the least lonely group, while never-married elders come thereafter, better than widowed, divorced, and separated elders. Overall, while married individuals are the happiest and the least lonely of all groups, marriage, on average, ends up with less benign results in late stages of life. The discussion part in this paper suggests that these findings might fit with the “greedy marriage” argument that long-term never-married people develop social skills and circles over time, which allows them to be more immune to loneliness and depression than widowed, divorced, and separated elders

    Transnational social mobility of minorities: A comparative analysis of 14 immigrant minority groups

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    There is extensive scholarship on the condition of being a minority in one's home country and vast literature on the experience of immigrants in host countries. However, almost no attention has been paid to the distinct mechanisms pertaining to immigrants who were minorities in the source country and moved to another. This paper integrates the literature on minorities with that of migration and addresses this gap by developing a theory of a growing phenomenon: the transnational social mobility of minorities. Using the US census and the American Community Survey, 14 groups of minorities (e.g., British Pakistanis) who immigrated to the USA are compared to the corresponding majority groups from the same country (e.g., the British majority). Findings show that all minorities have a lower starting point than the corresponding majority group from the same country. However, non-black minorities succeed faster and, in some cases, even pass majorities over time. In contrast, black immigrant minorities remain disadvantaged in comparison to whites from the same country

    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

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