1,721,305 research outputs found
Brenda Coultas & Jonathan Skinner
Jonathan Skinner sings of warblers, and Brenda Coultas divines ghosts, in this May 8, 2008 edition of the Rooftop Poetry Club podcast
An International Comparison of the Efficiency of Government Disability Programs
There are large variations across countries in the fraction of the workforce receiving disability
insurance (DI) payments, ranging in 2008 from 3.8 percent in Spain to 10.3 percent in Sweden.
Previous research has stressed the importance of institutional features of DI programs in
explaining overall costs, but much less is known about the efficiency of such programs in their
ability to screen applicants and thereby avoid Type I error (providing benefits to healthy
recipients) or Type II error (denying benefits to unhealthy applicants). In this paper, we draw on
the Survey of Health, Ageing, and Retirement in Europe (SHARE) and the Health and
Retirement Study (HRS) in the United States for micro-level data on people between the ages of
50 and 64 during 2004-2010 to address this question. Using the Poterba, Venti, and Wise health
index, we find large differences in the efficiency of DI systems across 11 countries. Switzerland,
Denmark, and the U.S. ranking highly in efficiency rankings, while France, the Netherlands, and
(on two measures) Sweden rank lower
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
- …
