1,720,966 research outputs found
When Novel and Familiar Look Alike: Testing the impact of comparison focus on familiarity and behavioural intentions towards ethnic food
No full textPeople are often reluctant when it comes to approaching novel food. This behavioural tendency falls under the label of food neophobia. Prior research based on mere exposure indicated that novel foods are more likely approached when perceived as more familiar. The present paper proposes a strategy to increase the perceived familiarity of ethnic food that is not based on direct exposure, but instead, on comparative thinking. Across three pre-registered studies (n=649), the impact of a comparison focus manipulation on familiarity, perceived closeness, and intention to try ethnic foods was tested. Participants were presented with ethnic recipes and asked to highlight the ingredients that made the recipe alike vs. different from known food. Study 1 revealed that focusing on similarities increased the perceived familiarity of an ethnic food relative to a no-comparison condition, but not to a difference condition. As the latter non-significant comparison was likely due to the specific features of the ethnic food considered, in Studies 2 and 3 a mixed design was adopted. Each participant was asked to process two different ethnic recipes, one assigned to a no-comparison focus task and the other to a comparison focus (similarity vs. difference) task. Results demonstrated that the food assigned to the comparison task increased in familiarity and perceived closeness, whereas the effect did not emerge on behavioural intentions. Crucially, this was true only when the comparison focus was on the similarities with Italian recipes. These findings provide useful insights for future research within the context of food-behaviour change
Would you buy vegan meatballs? The policy issues around vegan and meat-sounding labelling of plant-based meat alternatives
Full text linkPlant-based meat alternatives have grown tremendously in recent years, with an unprecedented increase in vegan and meat-sounding labelled products appearing on European Union shelves. However, a regulation clarifying what the “vegan” label means and if “meat-sounding” names should be allowed when referring to plant-based foods is still lacking. Led by opposite reasons, both vegetarian and meat producers' associations are demanding to fill this legal void. Our paper contributes to this debate by providing the results of two online experiments that measures how consumers perceive plant-based meat substitutes based on vegan vs. meat-sounding labelling. The results of the first study showed that meat-sounding labels applied to plant-based food altered perceived healthiness, but not other characteristics of the product. The second study indicated that vegan labelling exerted a negative effect on the consumers’ perception of tastiness and healthiness, and willingness to buy of plant-based foods. Importantly, these effects were moderated by the consumers’ attitudes towards meat-eating and veganism. In line with these results, we propose that the explicit use of the “vegan” label might be counterproductive to increase the sales of plant-based foods, and that the biasing impact of meat-sounding labels on plant-based food’s perception is weak
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
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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