1,721,026 research outputs found

    Handling Demanding Situations: Associations between Teachers’ Interpersonal Behavior, Physiological Responses, and Emotions

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    Teaching can be emotionally demanding. The current study investigated how teachers handle demanding situations in class, and how their behavioral and physiological reactions shape their emotions after the lesson. Interpersonal behaviors of 80 secondary school teachers were coded based on video recordings of one real-life lesson. During the lesson, heart rate and cardiac output were recorded continuously as indicator of relative challenge versus threat motivational states. Overall, teachers differed substantially in the number of demanding situations and how they changed their interpersonal behavior and physiological responses. Although teachers’ behavioral and physiological changes were not a straightforward predictor of their emotional outcomes, especially teachers with dispositional low agency or communion were at risk of less positive and more negative emotions.</p

    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

    Morality and Unjust Inequality

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    This book takes a moral perspective on social inequality. This prompts the immediate question what morality is. Morality refers to the set of most fundamental rules and values that provide guidance on how one ought to act. Different ethical theories take different points of departure to articulate the relevant criteria. According to some theories, the criterion for right action is formulated in terms of the outcomes of one’s actions; according to others, what matters most is that one acts on the right underlying principles. The first type of theory is called ‘consequentialist’, the second ‘deontological’. For consequentialist theories, an act is considered right if it leads to better overall outcomes, for example if the well-being of people improves. In a deontological framework, an act is right if it is in accordance with a good principle or an appropriate value. Although consequentialist and deontological theories are fundamentally different, they may overlap when it comes to concrete duties. For example, leading consequentialist and deontological theories hold that individuals have a moral duty to help people in need and to promote general well-being. Both consequentialist and deontological theories may consider social inequality as undesirable or wrong. From a consequentialist perspective, if reducing inequality improves the total amount of well-being, inequality should be reduced. From a deontological perspective, reducing inequality may be required because equality itself is considered of value, for example, or because an equal distribution is considered more fair. Not all moral theorists regard all forms of social inequality as necessarily unjust, since some inequalities may be the result of genuinely voluntary decisions (for example, a personal preference to adopt a minimalist lifestyle). Thus, morality requires us to reduce unjust inequalities. This book explores what different inequalities may be at stake in the different domains and which ones should be considered unjust.<br/

    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

    Making Sense of Negative Outcomes: The Role of Perceived Attributional Stability

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    When receiving a negative outcome (e.g., rejection in a job interview), people tend to attribute it to different causes. For members of stigmatised groups, discrimination is a plausible cause for a negative outcome. However, because discrimination has become relatively subtle (Ellemers & Barreto, 2015), members of stigmatised groups always live in an attributional ambiguity where they constantly wonder whether discrimination was the cause of the received negative outcome. Some researchers argue that this attributional ambiguity leads members of stigmatised groups to make attributions to discrimination. In doing so, individuals would protect themselves by discounting their own role in the negative outcome they received. In other words, in order to protect their sense of competence, members of stigmatised groups prefer to make attributions to discrimination rather than their lack of deservingness (i.e., attributions to lack of ability; Crocker & Major, 1989; Major, Kaiser, & McCoy, 2003). On the other hand, other researchers argue that making attributions to discrimination is not necessarily self-protective as perceived discrimination can have negative consequences for individuals. It has been suggested that attributional stability plays a key role in determining the extent to which attributions to discrimination and to lack of ability are perceived as a threat to individuals (Branscombe & Schmitt, & Harvey, 1999; Schmitt & Branscombe, 2002; Dweck & Leggett, 1988). In three studies, I examined the extent to which attributions to discrimination and to lack of ability are threatening/challenging as a function of stability of those attributions. Threat and challenge were measured both via self-reported data and cardiovascular markers. The results confirmed the role of attributional stability in perceived threat/challenge. In addition, in another study I examined whether attributional stability influences the extent to which attributions to discrimination and to lack of ability are made. However, the results of this study did not confirm my expectations, instead, participants consistently made more attributions to their lack of ability irrespective of information about attributional stability

    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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