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The authors evaluate a model suggesting that the performance of highly neurotic individuals, relative to their stable counterparts, is more strongly influenced by factors relating to the allocation of attentional resources. First, an air traffic control simulation was used to examine the interaction between effort intensity and scores on the Anxiety subscale of Eysenck Personality Profiler Neuroticism in the prediction of task performance. Overall effort intensity enhanced performance for highly anxious individuals more so than for individuals with low anxiety. Second, a longitudinal field study was used to examine the interaction between office busyness and Eysenck Personality Inventory Neuroticism in the prediction of telesales performance. Changes in office busyness were associated with greater performance improvements for highly neurotic individuals compared with less neurotic individuals. These studies suggest that highly neurotic individuals outperform their stable counterparts in a busy work environment or if they are expending a high level of effort. 相似文献
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Luke Roelofs 《Pacific Philosophical Quarterly》2023,104(2):301-323
If moral status depends on the capacity for consciousness, what kind of consciousness matters exactly? Two popular answers are that any kind of consciousness matters (Broad Sentientism), and that what matters is the capacity for pleasure and suffering (Narrow Sentientism). I argue that the broad answer is too broad, while the narrow answer is likely too narrow, as Chalmers has recently argued by appeal to ‘philosophical Vulcans’. I defend a middle position, Motivational Sentientism, on which what matters is motivating consciousness: any kind of consciousness which presents its subject with reasons for action. 相似文献
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Luke J. Matthews Werner B. Hertzog Thanos Kyritsis Rose Kerber 《Journal for the scientific study of religion》2023,62(1):5-27
While multiple studies have applied cultural evolutionary perspectives to the study of religion, few studies have examined the cultural evolutionary dynamics of a more secretive but equally ubiquitous form of supernatural belief: magic. We conducted two studies, an American nationally representative survey and a comparative phylogenetic analysis of religious traditions, to test three hypothesized cultural evolutionary drivers for beliefs in magic. We find the greatest support for the hypothesis that magic is employed when it provides its users benefits that are distinct from those provided by either science or religion, some support for secularization (broadly conceived) trends applying to magic, and no evidence that innate and unavoidable features of human cognition are primary drivers of the cultural evolution of magical beliefs. We conclude by suggesting specific hypothesized benefits for magic that may account for the evolution of humanity's facultative (i.e., context-dependent) use of magical beliefs. 相似文献
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Murilo Rocha Seabra Luke Prendergast Gabriel Silveira de Andrade Antunes Laura Tolton 《Metaphilosophy》2023,54(1):106-118
This paper presents the results of an experiment designed to test for nationality bias among members of the Brazilian philosophical community. Faculty members and postgraduate students from philosophy departments at seven Brazilian universities evaluated texts attributed to authors of European and Latin American nationalities. Results showed a clear preference for French nationality over Brazilian. They were inconclusive, however, when contrasting other Latin American nationalities with European nationalities, which likely relates to the academic background of the participants. These overall results support the claim that Brazilian academic philosophers are highly critical of Brazilians who produce theories of their own. The paper calls on philosophers to carefully consider the ways in which Eurocentrism impacts their very ability to reason. 相似文献
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Cluster analysis refers to a family of methods for identifying cases with distinctive characteristics in heterogeneous samples and combining them into homogeneous groups. This approach provides a great deal of information about the types of cases and the distributions of variables in a sample. This paper considers cluster analysis as a quantitative complement to the traditional linear statistics that often characterize community psychology research. Cluster analysis emphasizes diversity rather than central tendency. This makes it a valuable tool for a wide range of familiar problems in community research. A number of these applications are considered here, including the assessment of change over time, network composition, network density, person-setting relationships, and community diversity. A User's Guide section is included, which outlines the major decisions involved in a basic cluster analyses. Despite difficulties associated with the identification of optimal cluster solutions, carefully planned, theoretically informed application of cluster analysis has much to offer community researchers.
Editor's note: Dr. Edward Seidman served as action editor for this article while serving as Associate Editor for Methodology. 相似文献