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    Replication Data for Learning as a Peer Assessor: Evaluating Peer-Assessment Strategies

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    When students engage in peer assessment or review activities, they often put emphasis on the feedback they receive from peers, but fail to appreciate how their role as a peer assessor can contribute to their learning process and improve their own work. Because of this, students and sometimes teachers undervalue the peer assessment process. This SoTL project conducts a small-scale controlled experiment with students conducting peer assessment in randomly assigned groups that either focus on giving and receiving peer feedback or assessing peers’ work only without receiving feedback on their own. In addition, it explores how different peer assessment strategies such as rubric creation, rank order assessment, and assessment without qualitative feedback effect both students’ ability to improve their work and their perception of the value of peer assessment. Consistent with theoretical expectations, the results provide limited exploratory evidence that students’ perceived value of peer assessment is lower when they do not receive feedback, but improvement in their writing is actually higher when they focus on assessing peers’ work rather than receiving feedback on their own. While feedback is a potential benefit of the peer assessment process, it may also distract focus from the potentially more valuable learning that derives from students’ self-evaluating their own work after critically assessing their peers’

    Replication Data for Chinese Investment and Corruption in Africa

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    Chinese investment in Africa has rapidly expanded in recent years and garnered significant attention. There has been considerable concern that this investment will increase corruption in African states. However, there has been little academic scrutiny or examination of these claims. This paper proposes and tests the theory that the effect of FDI on corruption is dependent on the source country, specifically proposing and testing the hypothesis that Chinese FDI has a more detrimental effect on corruption than FDI from developed economies. By analyzing a random effects model with pooled cross-sectional, time series data on corruption and foreign direct investment from 52 African countries from 2002-2012 I show that, contrary to the theoretical prediction, investment from Chinese sources does not have a significantly different effect on corruption than foreign investment from developed countries. Though Chinese investors are less deterred by high levels of corruption, their investment in more corrupt countries does not increase overall corruption levels

    Replication Data for: Manipulating Remittances: Strengthening Autocratic Regimes with Currency Overvaluation and Remittance Flows

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    This paper investigates the link between remittances and autocratic regime stability. It challenges the prevailing assumption that remittances cannot be directly captured as a source of hard capital by states, and proposes that remittances increase regime durability by incentivizing and enabling currency overvaluation and seigniorage revenue generation in autocratic states that produce non-freely convertible currencies. It uses cross-national time-series data from autocratic regimes in Sub-Saharan African countries from 1975-2015 to test this theory. The analysis shows that remittances increase autocratic regime durability in countries that have monopoly control over domestic currency production

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

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    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    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
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