1,721,037 research outputs found
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
Cross-class solidarity in times of crisis: the economic impact of the COVID-19 pandemic on support for redistribution
No full textThis study investigates how the economic crisis associated with the COVID-19 pandemic impacted support for social assistance in Germany. We formulate our expectations drawing from the classical political economy literature on self-interest and the burgeoning research on the role of solidarity. On the one hand, we hypothesize that only low-income individuals impacted economically by COVID-19, who can benefit from social assistance, will support its expansion. On the other hand, we expect higher-income individuals affected economically by COVID-19 to be more supportive of social assistance, even though they do not benefit from it, and less likely to consider welfare recipients ‘undeserving’ compared to higher-income individuals not economically affected by the pandemic. We argue that first-hand crisis experiences update people’s beliefs about how luck impacts one’s economic situation in the presence of an exogenous shock. We combine observational and experimental data from an original survey collected in Germany in April 2021 to test our expectations. On average, low-income respondents appear to be the most vigorous supporters of social assistance, but their support is not conditional on their experience of the COVID-19 pandemic. Instead, we find that the support for more social assistance among affluent individuals depends on the economic impact of the pandemic. We experimentally manipulated the deservingness of welfare recipients and found that better-off respondents impacted by the pandemic were less likely to penalize even the most ‘undeserving’ welfare beneficiaries. We suggest that solidarity between classes in hard times may occur through a convergence of the deservingness perception among individuals. The article has broader implications for studying the effect of crises on solidarity and the conditional nature of class-based explanations for support for different welfare policies
An AI-Based System for Formative and Summative Assessment in Data Science Courses
Full text linkMassive open online courses (MOOCs) provide hundreds of students with teaching materials, assessment tools, and collaborative instruments. The assessment activity, in particular, is demanding in terms of both time and effort; thus, the use of artificial intelligence can be useful to address and reduce the time and effort required. This paper reports on a system and related experiments finalised to improve both the performance and quality of formative and summative assessments in specific data science courses. The system is developed to automatically grade assignments composed of R commands commented with short sentences written in natural language. In our opinion, the use of the system can (i) shorten the correction times and reduce the possibility of errors and (ii) support the students while solving the exercises assigned during the course through automated feedback. To investigate these aims, an ad-hoc experiment was conducted in three courses containing the specific topic of statistical analysis of health data. Our evaluation demonstrated that automated grading has an acceptable correlation with human grading. Furthermore, the students who used the tool did not report usability issues, and those that used it for more than half of the exercises obtained (on average) higher grades in the exam. Finally, the use of the system reduced the correction time and assisted the professor in identifying correction errors
Child-related family policies in East and Southeast Asia: An intra-regional comparison
No full textOver the past five decades, dramatic demographic and socio-economic changes have taken place in East and Southeast Asian countries, with important implications for the family and its future. Still, little is known about the typical configurations of state support for families in these countries. We examine governments’ strategies for supporting families and reducing the cost of children. Employing hierarchical cluster analysis, we uncover four distinctive family policy profiles—maternity support, poverty-relief support, employment-oriented support and encompassing support—and discuss their implication for defamilialisation. What appears less clear are the drivers behind such configurations, but there are indications that fertility concerns, the cultural fabric of a country and the productivist profile of the social policy regime seem to influence the orientation of family policy models. Overall, the development of family policy in East and Southeast Asia seems to be fragmented and characterised by parallel interventions of different types of provenance
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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