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Observes racial stereotypes and explains the way human beings “see” one another because of this. Adumbrates that even as far back as 1798, the media stereotyped people into various groups, and subsequent surveys only seem to emphasize this. Lists out the more common racial stereotypes using (US) surveys to collect peoples’ thoughts and feelings. Shows how to overcome racial stereotypes. Sums up that communication barriers can ensue from stereotyping races and that people should be responsible in overlooking media influences in this area.

Gloria Pritchett – the fiery and caring Latina mother in Modern Family – is believed to recreate cultural and gender stereotypes. This audience study was interested in situating her as an intersectional representation to recognize that numerous social categories coproduce her characterization not just one. Textual analyses of open-ended questions reveal that participants tend to explicitly and exclusively discuss her stereotypes in ethnic and gender terms, with an emphasis on the former. However, a semantic analysis of the words/adjectives used to describe Gloria Pritchett suggested these share meaning across multiple social categories. Some aspects of her representation, like those based on ethnicity and gender (her Latina wisdom) or ethnicity and social class (her social mobility from Colombia to the United States), were found commendable, respectable, and likable. Eventually, the social identities encompassing Gloria Pritchett are taken apart and compounded, which in turn, suggest that her intersectionality was malleable for viewers.

In Brazil, over 4.7 million women enrolled in university in the year 2017. However, Brazilian women have been consistently overrepresented in humanities and care majors and underrepresented in science, technology, engineering and mathematics (STEM). Given that observed gender differences in math-intensive fields have lasting effects on gender inequality in the labor market, and that observed gender variations do not necessarily associate with differences in innate ability, in this paper we explore the paths of societal gender bias and gender differences in a Brazilian university.

We conduct a social experiment at a University in Southeastern Brazil, applying the gender-STEM Implicit Association Test.

We found that women in STEM are less likely to show gender-STEM implicit stereotypes, compared to women in humanities. The results indicate a negative correlation between implicit gender stereotyping and the choice of math-intensive majors by women.

The stereotype-congruent results are indicative of the gender bias in Brazilian society, and suggest that stereotypes created at early stages in life are directly related to future outcomes that reinforce gender disparities in Brazil, which can be observed in career choices.

This chapter focuses on the implications of both the descriptive and prescriptive aspects of gender stereotypes for women in the workplace. Using the Lack of Fit model, we review how performance expectations deriving from descriptive gender stereotypes (i.e., what women are like) can impede women's career progress. We then identify organizational conditions that may weaken the influence of these expectations. In addition, we discuss how prescriptive gender stereotypes (i.e., what women should be like) promote sex bias by creating norms that, when not followed, induce disapproval and social penalties for women. We then review recent research exploring the conditions under which women experience penalties for direct, or inferred, prescriptive norm violations.

Purpose – This study examines the relationship between endorsement of positive stereotypes of women and support for women's rights to shed light on the role that endorsement of positive stereotypes may play in maintaining social stratification.

Design/methodology/approach – The study uses data collected from a web-based survey of 181 male undergraduate students in six different universities and colleges to examine the relationship between the endorsement of positive stereotypes of women and support for women's rights. The paper examines four ordinary least squares (OLS) regression models to determine the relationship and utilizes the statistical software Stata 9.2.

Findings – Rather than a simple direct relationship, the findings suggest that the relationship between the endorsement of positive stereotypes and support for women's rights varies based on the level of hostile sexism. Increased endorsement of positive stereotypes of women was associated with decreased support for women's rights among males with the lowest level of hostile sexism, but the opposite relationship was found for males at the mean and the highest level of hostile sexism.

Research limitations/implications – The findings suggest that endorsement of positive stereotypes plays a unique role for males who do not endorse traditional sexist attitudes. Although data are not available to clarify what processes might be undergirding the relationship, the author suggests directions for future research.

Practical implications – Given the relationship found, prejudice reduction interventions that rely on the promotion of positive stereotypes of various social groups should be closely examined to determine if they actually foster attitudes that are detrimental for the eradication of social stratification.

Originality/value – This study is one of the first to examine the possible negative impacts of endorsement of positive stereotypes of women on gender stratification through a moderated relationship with levels of hostile sexism.

This chapter investigates the effects of gender stereotypes on expectations about expertise and task assignments. We present a theoretical model that predicts and explains the pervasive and self-reinforcing effects of gender-based stereotypes on expected knowledge and task assignments in groups. In the model, stereotypes influence expertise recognition, which influences tasks assignments. Task assignments provide group members with task experience and expertise. Expertise influences expertise recognition, making the model cyclical. Expertise gained from task experience also affects stereotypes, creating a cycle that reinforces stereotypes. We describe findings from a program of research designed to examine ways of breaking this self-reinforcing cycle, which investigates the effectiveness of various types of expertise claims made by people with expertise, that is inconsistent with stereotypical expectations. We consider the implications of our theory and data for effects of status on evaluation of expertise claims in work groups.

Research has found that stereotypes affect occupational choices, but there has been almost no research on how they specifically affect the choice of becoming an entrepreneur. This study bridges different fields of research by combining theories on entrepreneurial intent, self-esteem, and stereotypes. The author argues that in situations of insufficient information individuals assess prospective careers in commercial and social entrepreneurship by means of stereotypes, and the author is the first to explore the influence of commercial and social entrepreneurial stereotypes on an individual’s intention to start a commercial (for-profit) or social (not for-profit) venture. The author uses the framework outlined by the stereotype content model to disclose the existence of distinct stereotypes for commercial and social entrepreneurs exist and, thereafter, the author analyzes the influences of both entrepreneurial stereotypes on the specific startup intentions. The author test the hypotheses with unique survey data from a sample of German non-entrepreneurs which reveals that commercial entrepreneurs are seen as competent but cold, whereas social entrepreneurs are regarded as warm but incompetent. Using structural equation modeling and multi-group analysis, the data implies that higher levels of perceived warmth and competence of commercial entrepreneurs have a positive indirect effect on commercial startup intentions. No such effect was found for social startup intentions; however, the results indicate that a higher societal status of social entrepreneurs exerts a positive indirect impact on the intention to start a social business. The author discusses the practical implications of our approach and point out avenues for future research.