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Table 1 Coding scheme for gender and race differences analysis

From: Undergraduates’ awareness of White and male privilege in STEM

Doesn’t notice differences Not aware of a gender/race impact
Notices differences Not sexism/racism Impacts due to differences in individuals not attributed to systemic factors Men and some races are more interested in or value science more
Women willingly work harder than men
Sexism/racism Impacts due to underrepresentation Intimidation
Pressure to work harder
Feeling out of place
Impacts due to discrimination Impacts for employment
Bias against women/people of color
Students of color lack social or cultural capital
Differential benefits Impacts due to advantages women and students of color receive because of their gender and/or race
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