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 | ||