2017
DOI: 10.1615/jwomenminorscieneng.2016013400
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Oh You Are Smart: Young, Gifted African American Women in Stem Majors

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Cited by 27 publications
(40 citation statements)
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References 13 publications
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“…Despite reporting specific examples and regular occurrences of sexism and implicit bias in class settings and group interactions, some participants still perceived their academic experiences to be equal to those of male peers. This finding is consistent with research that suggests that such differentiation is perceived by women in male-dominated environments as natural or expected, particularly as some women adapt to manage stereotypes and to better fit in in an attempt to persist (Amon 2017;Buse et al 2013;Fouad et al 2016;Hewlett et al 2008;McPherson 2017;Neumann et al 2016;Powell and Sang 2015). Alisa and Faith both described these adapting behaviors in their examples of female engineering students distancing themselves from other women and feminine stereotypes in order to gain acceptance.…”
Section: Discussionsupporting
confidence: 82%
“…Despite reporting specific examples and regular occurrences of sexism and implicit bias in class settings and group interactions, some participants still perceived their academic experiences to be equal to those of male peers. This finding is consistent with research that suggests that such differentiation is perceived by women in male-dominated environments as natural or expected, particularly as some women adapt to manage stereotypes and to better fit in in an attempt to persist (Amon 2017;Buse et al 2013;Fouad et al 2016;Hewlett et al 2008;McPherson 2017;Neumann et al 2016;Powell and Sang 2015). Alisa and Faith both described these adapting behaviors in their examples of female engineering students distancing themselves from other women and feminine stereotypes in order to gain acceptance.…”
Section: Discussionsupporting
confidence: 82%
“…QuantCrit researchers, in part, overcome this challenge by collecting large-scale datasets with enough statistical power to model the relationships between students' intersectional identities and their learning outcomes. While our work's foundations lie in the QuantCrit literature, we were informed by the prior work using intersectionality in physics [12][13][14][15][16][17], intersectionality in QuantCrit [62,63,66] and the foundational work in intersectionality [70]. This body of work was particularly informative for our statistical model building process.…”
Section: Data Is Not Neutral and Cannot Speak For Itself -mentioning
confidence: 99%
“…Students of color face a similarly harsh learning environment in physics. Faculty and mentors advise students of color against pursuing STEM degrees; their peers and instructors avoid or ignore them and deny them insider knowledge for success [9,[12][13][14][15][16][17]. These burdens fall disproportionately on students with multiple intersecting identities marginalized in the United States.…”
Section: Introductionmentioning
confidence: 99%
“…Students of color experience their race as a salient component of their physics education. They are often ignored and avoided by their fellow peers and faculty members, they are dissuaded from pursuing STEM degrees by faculty members, and excluded from insider know‐how needed to succeed in their education (Dortch & Patel, ; Johnson, ; Johnson, ; McGee & Bentley, ; McPherson, ; Ong, ; Seymour, ). These negative experiences occurred less frequently for male Black students at HBCU's (Dortch & Patel, ).…”
Section: Literature Reviewmentioning
confidence: 99%