1,721,408 research outputs found
From narrative to actions: Theoretical framework for the integration of reframed narratives into New Zealand's agricultural policy
No full texthttp://dx.doi.org/10.13039/501100003524 New Zealand Ministry of Business Innovation and Employmen
Integrating forest science into natural hazard management praxis: an international case study based on the innovative RIU approach
No full text
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
Making science-based natural hazard risk management work within power networks –from co-production models of knowledge transfer to the Research-Integration-Utilisation (RIU) model
No full textDecisions and measures in natural hazard risk management (NHRM) should be based on relevant current scientific information, developed within a high-quality scientific research process, to mitigate risks arising from natural hazards. Though the purportedly most advanced co-production models of knowledge transfer have been applied in many research projects dealing with NHRM, the resulting scientific information has seldom reached practitioners on the ground or political actors at the decision-making level. To overcome these limitations, this study strives first to identify additional factors beyond those factors for success that the co-production model claims. Such claims include “multi-stakeholder involvement”, assurance of actor participation, and enhancement of communication between actors, or maximisation of information sharing with them. Secondly, we want to identify concrete places where knowledge transfer indeed takes place. To do this, the novel Research-Integration-Utilisation (RIU) model for knowledge transfer was applied to the analysis of the case study of the EU Interreg Alpine Space project, GreenRisk4Alps (GR4A), which conducts research on ecosystem-based NHRM strategies. The RIU model assumes that the scientific information must be retrieved actively from practitioners or political actors and integrated into their practices, something which happens in a specific actor setting, namely, that of interest-driven actors in existing power relations. The study's first hypothesis is that the co-production model's intense focus on the multi-stakeholder aspect is inadequate for the integration of actors who are both interested and powerful, and who could implement science-based solutions effectively. It was checked against the GR4A project and its Working Plan, which originate in the co-production models of knowledge transfer. Our results clearly demonstrate that the interests and power of actors, as well as other indicators, were widely ignored by that knowledge transfer model. In contrast, the RIU model builds on these indicators and the related data to characterise actors. Actor settings can then be used to address actors selectively. This takes place in very specific places where practitioners and political actors meet to exchange science-based information. These places were identified in all the case study areas of the GR4A project, and called “integration forums” confirming our second hypothesis, i.e., that the bridges between scientific information and the powerful and interested actors are built upon these integration forums
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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