1,721,055 research outputs found
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
What is morally at stake when using algorithms to make medical diagnoses? Expanding the discussion beyond risks and harms
Full text linkIn this paper, we examine the qualitative moral impact of machine learning-based clinical decision support systems in the process of medical diagnosis. To date, discussions about machine learning in this context have focused on problems that can be measured and assessed quantitatively, such as by estimating the extent of potential harm or calculating incurred risks. We maintain that such discussions neglect the qualitative moral impact of these technologies. Drawing on the philosophical approaches of technomoral change and technological mediation theory, which explore the interplay between technologies and morality, we present an analysis of concerns related to the adoption of machine learning-aided medical diagnosis. We analyze anticipated moral issues that machine learning systems pose for different stakeholders, such as bias and opacity in the way that models are trained to produce diagnoses, changes to how health care providers, patients, and developers understand their roles and professions, and challenges to existing forms of medical legislation. Albeit preliminary in nature, the insights offered by the technomoral change and the technological mediation approaches expand and enrich the current discussion about machine learning in diagnostic practices, bringing distinct and currently underexplored areas of concern to the forefront. These insights can contribute to a more encompassing and better informed decision-making process when adapting machine learning techniques to medical diagnosis, while acknowledging the interests of multiple stakeholders and the active role that technologies play in generating, perpetuating, and modifying ethical concerns in health care.Ethics & Philosophy of Technolog
Bringing disgust in through the backdoor in healthy food promotion: a phenomenological perspective
Full text linkObesity has been pointed out as one of the main current health risks leading to calls for a so-called “war on obesity”. As we show in this paper, activities that attempt to counter obesity by persuading people to adjust a specific behavior often employ a pedagogy of regret and disgust. Nowadays, however, public healthcare campaigns that aim to tackle obesity have often replaced or augmented the explicit negative depictions of obesity and/or excessive food intake with the positive promotion of healthy food items. In this paper, we draw on a phenomenological perspective on disgust to highlight that food-related disgust is connected to the character and behavior of a perceived individual even in the context of promoting healthy food items. We argue that the focus on “making the healthy food choice the easy choice” might be an important step towards the de-stigmatization of people that are affected by obesity. However, so we suggest, this focus threatens to bring back an image of individuals affected by obesity as disgusting “through the backdoor”. It does so not by portraying bodies with overweight as disgusting, but instead by implying that lifestyle choices, character and habits of people that are affected by obesity are markers of a lack of control. We argue that the close relationship between disgust and the perception of self-control in the context of obesity should be taken into consideration in the context of assessing the implications of new health promotion strategies to minimize the risk of stigmatizing people
Setting the Stage: Disgust as an Aesthetic Food Experience
Full text linkDisgust is commonly understood as an emotion of aversion. However, people seem to eat certain food items not despite containing disgust eliciting features but because of them. In this paper, we introduce the term aesthetic disgust to capture this phenomenon. We outline in our manuscript how designers use different techniques to stage the food experience and facilitate aesthetic disgust, which can be understood as more than just a pleasurable experience. We outline twelve staging techniques used in the context of food design to facilitate a distancing or embracing effect regarding the disgust eliciting features. Three food examples illustrate how these different techniques can be combined and applied in design practice
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
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