232 research outputs found

    Reducing Automatic Stereotype Activation: Mechanisms and Moderators of Situational Attribution Training

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    Individuals tend to underestimate situational causes and overly rely on trait causes in explaining negative behaviors of outgroup members, a tendency named the ultimate attribution error (Pettigrew, 1979). This attributional pattern is directly related to stereotyping, because attributing negative behaviors to internal, stable causes tends to perpetuate negative stereotypes of outgroup members. Recent research on implicit bias reduction revealed that circumventing individuals’ tendency to engage in the ultimate attribution error led to reduced stereotyping. More specifically, training White participants to consider situational factors in determining Blacks’ negative stereotypic behaviors led to decreased automatic stereotype activation. This technique was named Situational Attribution Training (Stewart, Latu, Kawakami, & Myers, 2010). In the current studies, I investigated the mechanisms and moderators of Situational Attribution Training. In Study 1, I investigated the effect of training on spontaneous situational inferences. Findings revealed that training did not increase spontaneous situational inferences: both training and control participants showed evidence of spontaneous situational inferences. In Study 2, I investigated whether correcting trait inferences by taking into account situational factors has become automatic after training. In addition, explicit prejudice, motivations to control prejudice, and cognitive complexity variables (need for cognition, personal need for structure) were investigated as moderators of training success. These findings revealed that Situational Attribution Training works best for individuals high in need for cognition, under conditions of no cognitive load, but not high cognitive load. Training increased implicit bias for individuals high in modern racism, regardless of their cognitive load. Possible explanations of these findings were discussed, including methodological limitations and theoretical implications

    Performance analysis and optimization of the JOREK code for many-core CPUs

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    This report investigates the performance of the JOREK code on the Intel Knights Landing and Skylake processor architectures. The OpenMP scaling of the matrix construction part of the code was analyzed and improved synchronization methods were implemented. A new switch was implemented to control the number of threads used for the linear equation solver independently from other parts of the code. The matrix construction subroutine was vectorized, and the data locality was also improved. These steps led to a factor of two speedup for the matrix construction

    The effects of stereotypes of women's performance in male-dominated hierarchies: Stereotype threat activation and reduction through role models

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    Despite recent progress in increasing gender equality in organizations, workplace hierarchies remain male-dominated in most domains. We discuss how gender stereotypes contribute to holding women back in leadership and workplace domains and how we can reduce the negative effects of gender stereotypes. In the first part of the chapter we discuss how awareness of negative stereotypes of women in leadership can decrease women's performance and self-related cognitions in leadership tasks such as motivating employees, managerial decision-making, and negotiating. In the second part of the chapter we discuss effective strategies to reduce the negative effects of stereotypes. We particularly focus on the strategy of exposing women to counterstereotypic exemplars - women who succeeded, thus disproving the stereotype. Given that exposures to successful women can have both threatening and inspiring effects, we propose a model which discusses the conditions under which successful female role models would inspire women with leadership aspirations

    Evaluating kernels on Xeon Phi to accelerate Gysela application

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    This work describes the challenges presented by porting parts ofthe Gysela code to the Intel Xeon Phi coprocessor, as well as techniques used for optimization, vectorization and tuning that can be applied to other applications. We evaluate the performance of somegeneric micro-benchmark on Phi versus Intel Sandy Bridge. Several interpolation kernels useful for the Gysela application are analyzed and the performance are shown. Some memory-bound and compute-bound kernels are accelerated by a factor 2 on the Phi device compared to Sandy architecture. Nevertheless, it is hard, if not impossible, to reach a large fraction of the peek performance on the Phi device,especially for real-life applications as Gysela. A collateral benefit of this optimization and tuning work is that the execution time of Gysela (using 4D advections) has decreased on a standard architecture such as Intel Sandy Bridge.Comment: submitted to ESAIM proceedings for CEMRACS 2014 summer school version reviewe

    Frequently Represented Sense Components in Memes and Demotivators Dedicated to Lockdown

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    The article is devoted to the study of sense components that are often represented in the content of static polycode texts, in particular, demotivators and memes devoted to the phenomenon of mass lockdown. The aim of the study is to establish the elements of knowledge, which are basic concepts and are used in the construction of messages, understanding the specifics of this mode, broadcasting opinions. The means of their expression in the verbal and non-verbal parts of polycode texts are analyzed. A different degree of their representativeness is established, depending on the frequency of the used linguistic means and non-verbal elements. The statistical data were processed using the AntConc 3.5.8 text corpus analyzer program, using the stop-list of words. Attention is paid to the differences in the actualization of the identified mental constructs in the verbal and non-verbal parts of memes and demotivators. They were systematized in accordance with this criterion. The frequency of the use of verbal and non-verbal means to convey the same semantic component is assessed in a comparative manner. The diversity of linguistic means used by the authors of memes and demotivators of the studied group is characterized

    Gender Biases in (Inter) Action: The Role of Interviewers’ and Applicants’ Implicit and Explicit Stereotypes in Predicting Women’s Job Interview Outcomes

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    Although explicit stereotypes of women in the workplace have become increasingly positive, negative stereotypes persist at an implicit level, with women being more likely associated with incompetent-and men with competent-managerial traits. Drawing upon work on self-fulfilling prophecies and interracial interactions, we investigated whether and how implicit and explicit gender stereotypes held by both male interviewers and female applicants predicted women's interview outcomes. Thirty male interviewers conducted mock job interviews with 30 female applicants. Before the interview, we measured interviewers' and applicants' implicit and explicit gender stereotypes. The interviewers' and applicants' implicit stereotypes independently predicted external evaluations of the performance of female applicants. Whereas female applicants' higher implicit stereotypes directly predicted lower performance, male interviewers' implicit stereotypes indirectly impaired female applicants' performance through lower evaluations by the interviewer and lower self-evaluations by the applicant. Moreover, having an interviewer who was at the same time high in implicit and low in explicit stereotypes predicted the lowest performance of female applicants. Our findings highlight the importance of taking into account both implicit and explicit gender stereotypes in mixed-gender interactions and point to ways to reduce the negative effects of gender stereotypes in job interviews. Additional online materials for this article are available to PWQ subscribers on PWQ's website at http://pwq.sagepub.com/supplemental

    Consistency of Term <i>star</i>: a Statistical Analysis of the Productive Types of System Relations with Related Terminological Units

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    The article is devoted to the study of the term as a system unit in its interconnections with contiguous linguistic facts on the example of semantic relations existing in the term star in the field of scientific knowledge “astrophysics”. The study is based on an analysis of the systemic correlation of units in the field of astrophysics. The authors focus on terms representing various categories of concepts in accordance with the nature of the referents they represent. The most and least productive semantic relations are established and analyzed with related first-order terms presented in the definition and second-order terms, the relations with which are represented in the texts of scientific publications outside of the definitions. The categorical pertaining of related terms with which the term star has a systemic relationship is also determined in the study. Using a statistical analysis of a selection of terms in the field of “astrophysics”, we found that the most productive semantic relationships for them are relationships such as generic, attribution, and “part-whole”

    Cardiovascular disease risk prediction in older people: a qualitative study.

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    BACKGROUND: Despite cardiovascular disease (CVD) risk prediction equations becoming more widely available for people aged ≥75 years, views of older people on CVD risk assessment are unknown. AIM: To explore older people's views on CVD risk prediction and its assessment. DESIGN AND SETTING: Qualitative study of community-dwelling older people in New Zealand. METHOD: A diverse group of older people was purposively recruited. Semi-structured interviews and focus groups were conducted, transcribed verbatim, and thematically analysed. RESULTS: Thirty-nine participants (mean age 74 years) of Māori, Pacific, South Asian, and European ethnicities participated in one of 26 interviews or one of three focus groups. Three key themes emerged: poor knowledge and understanding of CVD and its risk assessment; acceptability and perceived benefit of knowing and receiving advice on managing personal CVD risk; and distinguishing between CVD outcomes - stroke and heart attack are not the same. Most participants did not understand CVD terms, but were familiar with the terms 'heart attack' and 'stroke', and understood lifestyle risk factors for these events. Participants valued CVD outcomes differently, fearing stroke and disability - which might adversely affect independence and quality of life - but were less concerned about a heart attack, which was perceived as causing less disability or swifter death. These findings and preferences were similar across ethnic groups. All but two participants wanted to know their CVD risk, how to manage it, and distinguish between CVD outcomes. Those who did not wish to know perceived this as something only their God could decide. CONCLUSION: To inform clinical decision making for older people, consideration of an individual's wish to know their risk is important, and risk prediction tools should provide separate event types rather than just composite outcomes

    Static Polycode Text Modeling Using Network Analysis (Demotivator Dedicated to Problems of Self-Isolation)

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    The features of modeling a graphic-verbal polycode text, including a static image and an accompanying inscription, are considered. The study was conducted on the example of a demotivator dedicated to the problems of mass self-isolation at the very beginning of the pandemic and the introduction of restrictive measures. Significant semantic components, represented as part of only the iconic component, only the verbal component, and also as part of the verbal and iconic components at the same time are established. The semantic relations between the selected semantic components are revealed, the types of these links, revealing the different nature of their correlation are determined. On the basis of the data obtained, a network model of the considered static polycode text in the form of a semantic network was built. Cases of semantic components correlation are considered, reflecting the generally objective aspects of the situation and unrealistic ideas based on irony and hyperbole to create a comic effect. Based on quantitative analysis, representative semantic relations were established: “partitive”, “localization (in)”, “attributive”, “subject-object”. Non-representative semantic relations between the semantic components in the analyzed polycode text are revealed: “coincidence”, “localization (on)”, “temporal”, “subject-instrument”, “subject-result”
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