1,721,010 research outputs found
Replication Data for: Causal pathways of rebel defection from negotiated settlements: A theory of strategic alliances
While it is widely accepted that negotiated settlements are prone to breakdown, our understanding of the processes through which signatories defect lacks precision. A growing qualitative literature recognizes the potential for rebel group fluidity, yet the conflict field’s converging reliance on dyadic data obscures pathways of defection that result in splintering or merger in quantitative studies. An in-depth case study of a failed peace process in Uganda—which is misclassified in the extant data—helps to illustrate the ways in which excluded groups can lower the opportunity cost of defection for splintering factions, resulting in a strategic alliance. I test the generalizability of this argument against the full sample of rebel parties to settlements in Sub-Saharan Africa (1975–2015) using a large-N qualitative analysis of causal process observations (CPOs). The aggregated results provide strong evidence that the defection-by-alliance pathway is much more prevalent than previously recognized, accounting for more than one-third of all defections in the sample. Where settlements create shared incentives for stakeholders inside and outside the peace process to spoil, rebel elites appear more willing to bear the costs of an alliance with a rival, rather than surrendering under adverse conditions
Replication Data for: Political Power Sharing in Post-conflict Democracies: Investigating effects on vertical and horizontal accountability
While it may be necessary to secure elite buy-in to peaceful competition, the literature
is pessimistic about the long-term effects of a power-sharing settlement on the quality
of democracy. Designing institutions to guarantee political inclusion is commonly
thought to undermine vertical and horizontal accountability by incentivising rent-seeking
over responsiveness to voters. This study employs data from the Varieties
of Democracy project to test arguments about the pernicious institutional effects of
political power-sharing settlements in post-conflict democracies, relying on a panel
dataset of 28 conflict-prone states in Sub-Saharan Africa since the onset of
democracy’s Third Wave (1990–2021). The analytical technique is a time-series
linear regression distinguishing between upturns and downturns across a range of
continuous measures of accountability (Teorell, Determinants of Democratization). The results show that, in line with much of the literature, political power-sharing
settlements are associated with increasing executive corruption and fewer
improvements in the rule of law. However, none of the other proposed
mechanisms linking political power sharing to poor accountability outcomes finds
consistent or significant support in the cross-national sample. Overall, these
findings suggest that the relatively undemocratic institutional concessions designed
to resolve conflict may not pose the serious barrier to democratic deepening and
consolidation as previously assumed
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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