1,720,960 research outputs found
Language and intergroup discrimination. Evidence from an experiment
No full textLanguage is one of the most salient dimensions of ethnocultural identity and clearly marks who is and who is not a member of the group. We conduct an experiment to investigate the role of language in intergroup discrimination in the creation of social capital, here operationalised as a measure encompassing trust, trustworthiness, cooperation, and coordination.
We observe the behaviour of the members of a minority language community when they receive the instructions written in their own idiomatic language and when they receive them written in the surrounding language. We find a language e↵ect on behaviour, but this e↵ect is gender specific. When deciding in the surrounding language, participants do not treat ingroup and outgroup members di↵erently. When deciding in their own idiomatic language, females show intergroup discrimination and treat ingroup members more favourably compared to how they treat them when deciding in the surrounding language. We also observe that the behaviour participants exhibit in the experiment positively correlates with their attitudes as measured by the standard trust survey question used as a proxy for social capital
Being of two minds: an ultimatum experiment investigating affective processes
Full text linkWe experimentally investigate how affective processes influence proposers' and responders' behaviour in the Ultimatum Game. Using a dualsystem approach, we tax cognitive resources through time pressure and cognitive load to enhance the influence of affective processes on behaviour. We find that proposers offer more under time pressure and this seems to be due to strategic considerations rather than to other-regarding concerns. We also find that responders are more likely to reject under time pressure. Surprisingly, both proposers and responders appear to be unaffected by cognitive load manipulation
Unravelling conditional cooperation: Reciprocity, inequity aversion, and anchoring in public goods provision
Full text linkExtensive research on human cooperation in social dilemmas has shown that individuals condition their behaviour upon the behaviour of others. However, few attempts have been made to disentangle the motivations backing conditional cooperation. We try to assess the relative importance of three motives - namely reciprocity, inequity aversion, and anchoring - in a non-linear voluntary contribution experiment. We find that, for those conditionally cooperating, both reciprocity and inequity aversion represent relevant motivational factors, but the impact of inequity aversion is stronger than that of reciprocity. In contrast, anchoring plays only a marginal role. Compared to what previously found in linear voluntary contribution games, overall we find much less conditional cooperation. In a control treatment with a less complex design, conditional cooperation is higher but still comparatively low
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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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