1,721,009 research outputs found
Replication Data for: Pandemic Precarity
No full textPython and R code for replicating analyses in Perry, Brea L., Brian Aronson, and Bernice A. Pescosolido. 2021. “Pandemic precarity: COVID-19 is exposing and exacerbating inequalities in the American heartland.” Proceedings of the National Academy of Sciences.
The data are from the Person to Person Health Interview, a restricted dataset that is available by request and under a data use agreement. Contact Brea Perry at [email protected] to request data
Capstone, Cautions, and Enthusiasms
No full textAdjunct to the preceding excerpt from Structural Holes, this chapter’s goal is to provide a capstone summarizing where we are on Structural Holes’ subject of network brokerage, and my cautions and enthusiasms concerning directions in which things are going. I focus on core ideas and results rather than on literature.1 In the capstone, I discuss the information breadth, timing, and arbitrage advantages of network brokers,
and returns to those advantages contingent on a broker’s social standing. Research linking network structure with success has been a first generation of work. That work is well advanced, but far from complete. I discuss the current position becoming stronger and broader with replication, attention to negative results, and attention to dynamics. Shifting to an exciting second generation of ongoing work, research has emerged focused on the behavior by which broker advantage is linked with success. I discuss framing and frame shifts, the importance of personal engagement, the uncertain moderating effects of culture and personality, and a few behavioral variations in brokerage. I discuss the context dependence of tertius gaudens tactics iungens versus separans, and the distinction between brokers who consume versus produce emotional energy in their
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Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal
Full text linkWidespread uptake of vaccines is necessary to achieve herd immunity. However,
uptake rates have varied across U.S. states during the first six months of the
COVID-19 vaccination program. Misbeliefs may play an important role in vaccine
hesitancy, and there is a need to understand relationships between
misinformation, beliefs, behaviors, and health outcomes. Here we investigate
the extent to which COVID-19 vaccination rates and vaccine hesitancy are
associated with levels of online misinformation about vaccines. We also look
for evidence of directionality from online misinformation to vaccine hesitancy.
We find a negative relationship between misinformation and vaccination uptake
rates. Online misinformation is also correlated with vaccine hesitancy rates
taken from survey data. Associations between vaccine outcomes and
misinformation remain significant when accounting for political as well as
demographic and socioeconomic factors. While vaccine hesitancy is strongly
associated with Republican vote share, we observe that the effect of online
misinformation on hesitancy is strongest across Democratic rather than
Republican counties. Granger causality analysis shows evidence for a
directional relationship from online misinformation to vaccine hesitancy. Our
results support a need for interventions that address misbeliefs, allowing
individuals to make better-informed health decisions
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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