1,720,987 research outputs found
What Does Food Retail Research Tell Us About the Implications of Coronavirus (COVID-19) for Grocery Purchasing Habits?
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Speciesism and perceptions of animal farming practices as predictors of meat consumption in Australia and Hong Kong
No full textMany people care about animals and do not wish to cause them harm yet continue to eat them. Past research, largely in Western cultural contexts, has found that people’s meat consumption is negatively related to how much they know about animal farming practices, and positively related to their endorsement of speciesism (the assignment of moral worth based on species membership). Little is known, however, about how these variables are related to meat consumption in non-Western samples. The present study aimed to determine to what extent perceptions of farming practices and speciesism predict meat consumption among people living in Australia and Hong Kong. Participants were recruited through Facebook advertising and asked to complete a questionnaire that measured speciesism, animal farming perceptions, meat consumption, and meat reduction intentions. Speciesism and perceptions of animal farming practices significantly predicted meat consumption and meat reduction intentions in the Australian sample, but only predicted some of the outcomes in the Hong Kong sample.</p
What Does Food Retail Research Tell Us About the Implications of Coronavirus (COVID-19) for Grocery Purchasing Habits?
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Perceptions of the Benefits and Barriers to Vegetarian Diets and the Environmental Impact of Meat-Eating
No full textThis pre-registered study investigated beliefs about climate change, the impact of meat consumption on the environment, and willingness to reduce meat intake in a large community sample of Australian social media users (N = 740). It also conceptually replicates Lea and Worsley’s (2003) study on Australians’ perceptions of the benefits and barriers to a vegetarian diet. Although most participants indicated a belief in climate change, only half agreed that agriculture and animal husbandry are a leading cause of climate change. Participants believed reducing and eliminating meat intake to be some of the least effective actions against climate change, contributing to a low willingness to change meat intake. Compared with Leah and Worsley, a significantly greater proportion of participants agreed with most of the benefits (11 of 15) and barriers (12 of 14) to vegetarianism. Both perceived benefits and barriers to vegetarianism significantly predicted participant meat consumption (red meat, poultry, and seafood). Overall, results indicate an increase in the number of people who are aware that meat-eating has environmental impacts, although they believe its impact to be significantly less than other pro-environmental behaviours (e.g., using public transport, recycling things more, and using more energy from renewable sources).</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
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