1,720,993 research outputs found

    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

    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

    Belief in science-related conspiracy theories

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    Data, code, and materials for Belief in science-related conspiracy theories (Littrell, et al., 2025

    BS, online resumes, and hireability - Study 1

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    This project will investigate what effects, if any, the inclusion of "corporate bullshit" (a type of semantically empty or otherwise vague rhetoric that leverages abstruse corporate buzzwords and jargon in a way that misrepresents or obscures some aspect of organizational reality; Littrell, 2024) in online resume profile materials has on hiring manager evaluations of applicants' personality, intelligence, and hireability

    The Corporate Bullshit Receptivity Scale: Development, validation, and associations with workplace outcomes

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    From boardrooms and brown bags, to emails and earnings calls, business culture often seems overrun by “corporate bullshit,” a type of semantically empty or otherwise vague rhetoric that leverages abstruse corporate buzzwords and jargon in a way that misrepresents or obscures some aspect of organizational reality. Though corporate bullshit may sometimes seem harmless, it can disrupt organizational and employee effectiveness in numerous ways including obstructing effective communication, increasing employee disengagement, tarnishing company reputation, and exposing businesses to legitimate financial and legal risks. Here, results from three studies (N = 745) report the construction and validation of the Corporate Bullshit Receptivity Scale (CBSR), a novel measure of individual differences in receptivity to corporate bullshit. Results show that corporate bullshit receptivity is distinct from a general affinity for corporate speech. Moreover, it is significantly associated with measures of analytic thinking and other bullshit-related constructs in theoretically-consistent ways. Importantly, corporate bullshit receptivity is strongly associated with several measures of organizational culture and job performance and is a strong, robust predictor of work-related decision-making. Overall, the findings establish the CBSR as a valid and reliable tool to aid researchers in examining the causes, correlates, and consequences of bullshit in the workplace

    Belief in science-related conspiracy theories

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    Conspiracy theories attempt to explain social phenomena by attributing them to the supposed secret actions of powerful, malevolent groups. Due to their associations with potentially harmful nonnormative behaviours at both the individual and collective levels, researchers have expressed particular concern over conspiracy theories that malign science. To better understand such beliefs, we conducted a national U.S. survey to gauge respondents’ agreement with 11 science-related conspiracy theories and their political, psychological, and social characteristics. We find that beliefs in specific science-related conspiracy theories represent two unique factors that are (i) related to nonnormative behaviours including political violence, vaccine refusal, and sharing false information online, and (ii) undergirded by a range of nonnormative personality traits and attitudes. We conclude by discussing the potential role of political leaders in propagating science-related conspiracy theories and the implications for preventing or reversing science-related conspiracy theory beliefs
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