1,720,965 research outputs found

    Co-creation Space

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    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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    SIMULATING REALITY: TRAINING CITIZEN SCIENTISTS TO JUDGE STREAM HABITATS IN MULTISENSORY VIRTUAL REALITY

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    Citizen science is a form of crowdsourcing that allows volunteers to participate in scientific data collection and analysis. Many citizen scientists are engaged and motivated by science-based learning and discovery, but high training costs and limited resources often result in volunteers participating in unskilled work, leading to boredom and disengagement. Advances in immersive virtual reality (VR) have created opportunities to recreate physical environments with minimal cost, making it possible to train citizen scientists to make qualitative experiential judgments usually reserved for domain experts. This research trains citizen scientists to assess outdoor stream habitats using StreamBED VR, a multisensory VR training platform. This research offers the following contributions: 1. A study of how expert and novice water monitors make qualitative assessments of outdoor stream habitats using an EPA qualitative protocol. The research found that experts develop intuitive judgments of quality, use multisensory environmental information to make judgments, and construct past and future narratives of streams using environmental characteristics. 2. Iterative design of the Ambient Holodeck multisensory system, and a study of how ambient sensory information impacts observation skills. The research found that multisensory information increased the number of observations participants made, and positively affected engagement and immersion. 3. Iterative design of the StreamBED VR training platform, and two studies; the former explores how qualitative assessment skills can be taught in VR, and the latter considers how training in VR, with and without Multisensory cues, compares to a PowerPoint (PPT) baseline. Study results found although VR participants were more excited to continue training than PPT participants, Standard VR and PPT participants scored closest to an expert gold standard, performing significantly better than Multisensory VR participants. This research concludes that VR has the potential to train qualitative assessment tasks, but qualifies that training design is multifaceted and complex, full of theoretical learning considerations and practical challenges. Further, VR realism can be a powerful tool for training, but is only effective when training cues clearly parallel assessment tasks

    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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