1,720,958 research outputs found
Lessons from Covid-19 Data
This video features presentations from three researchers at UK data resources who discuss their approaches, conclusions and experiences surrounding Covid-19 data.
The speakers are: Dr Jools Kasmire, who gives an introduction to datasets available from the UK Data Service; Alle Bloom, who covers the response of the UK Data Service to the pandemic; Dr Rosie Mansfield, who presents evidence from four British longitudinal studies on the interrelationships between social isolation and loneliness and their correlates among older British adults before and during the lockdown.
These presentations were recorded for a webinar hosted by the Data Resources Training Network, titled Lessons from Covid-19 data, which took place on 30 April 2024
Exploring Social Inequalities through National Datasets
This video features presentations from three researchers at UK data resources who discuss ways of exploring social inequalities through national datasets.
The presentations focus on gender pay gaps and ethnic inequalities.
The speakers are: Dr Jools Kasmire, who gave an introduction to the UK Data Service, the data sets available and how to access them; Professor Nissa Finney, who discussed new evidence on ethnic inequalities in Britain from the Evidence for Equality National Survey (EVENS); Dr Bozena Wielgoszewska, who described the main findings from the ESRC-funded project The Gender Wage Gap.
The presentations were recorded for a webinar hosted by the Data Resources Training Network, titled Exploring Social Inequalities through National Datasets, which took place on Wednesday, 2 October 2024
Exploring Educational Outcomes through National Datasets
This video features presentations from three researchers at UK data resources who discuss ways of exploring educational outcomes through national datasets.
The speakers discuss a wide range of data sources on educational outcomes, exploring gender pay gaps, assessments and labour market trajectories.
The speakers are: Jools Kasmire, who gives an introduction to the UK Data Service, the data sets available and how to access them; Francesca Borgonovi, who uses the rich and varied information contained in large-scale educational assessments to illustrate how gender gaps vary depending not only on what is being assessed, but also depending on when assessments are conducted and where assessments are conducted; Claire Crawford who uses Longitudinal Education Outcomes (LEO) data to explore variation in education and labour market trajectories.
The presentations were recorded for a webinar hosted by the Data Resources Training Network, titled Exploring Educational Outcomes through National Datasets, which took place on Friday, 14 June 2024
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
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