63.6% of Harvard University's Women's & Gender Studies course descriptions are framed from the left. Across all 100 schools' Women's & Gender Studies departments, it is 34.5%.
0%70%
Harvard University: 63.6% Women's & Gender Studies at all 100 schools: 34.5% each other school in the comparison
9 plotted courses (the ones with a political subject). 100 = far left, 50 = the average American, 0 = far right. Subject places what a course studies, not the side it takes.
Subject places what a course studies, not the side it takes. A course on slavery or the Holocaust lands far right and a course on Marx or the Soviet Union lands far left, whether the course praises, criticizes or simply describes it.
Furthest-left subjects
WOMGEN 1210FT · Black Feminist Theory93
Women's & Gender Studies
This course traces the development of Black feminist theory and thought, from 19th-century thinkers such as Anna Julia Cooper, Maria Stewart, Ida B. Wells through 20th-century movements including identity politics, standpoint theory,…
Debates about women's and sexual rights define almost every public debate today—from reproductive justice to healthcare for queer, trans, and gender nonconforming people, public protest, war and state violence, environmental crisis,…
Sexuality has long shaped racial and civilizational assessments of what it means to be modern. In this course, we will investigate the role of colonialism and neocolonialism in racial imaginations of gender and sexuality and how these…
None. Harvard University Women's & Gender Studies has 9 courses with a left-of-center subject and not one with a right-of-center subject.
Why this number, in plain words
Share of courses described from the left. Percent of all courses in the group whose Framing reading is leftward: the description frames its subject one-sidedly to the left.
Counted: all courses in the group, including N and I. No interval is published for this number.
Readings are of catalog description text, not of teaching, syllabi or individual professors.
Right-framed courses are almost absent (33 of 124,290); this run cannot tell catalog reality from model sensitivity. Compare schools with adjusted_ratio, not this raw share, because department mix differs.