Worried that you're a secret sexist for calling your female coworker a "good" worker? The federal government is on it.

According to a Free Beacon report, the National Science Foundation (NSF) shelled out $125,000 to the University of Kansas to conduct a study on racist and sexist adjectives.

The study seeks to devise the impact of the types of adjectives used to “provide assessments or evaluations of others' abilities”—in a letter of recommendation, for example—where “the language used may be influenced by gender and racial stereotypes.”

“This research has broad implications for understanding bias in real world, evaluative settings,” the grant reads. “Further, this research will increase our understanding of barriers that women and members of underrepresented groups face when considering educational and career opportunities in STEM (science, technology, engineering and mathematics) fields."

“For example, in a masculine work domain where women are stereotyped as less competent, 'good' for a woman may mean something objectively less good than 'good' for a man.”

Dr. Monica Biernat, the psychology professor leading the study, told the Beacon she’ll be applying for more funding in 2016.

In the past, Biernat has written critically of adjectives used to imply the soft bigotry of low expectations, like "judging a female driver as ‘aggressive,’ a mediocre Black student as ‘really smart,’ or a father who walks his kids to school as a ‘great’ parent."