54.5% of Tulane 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%
Tulane University: 54.5% Women's & Gender Studies at all 100 schools: 34.5% each other school in the comparison
8 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
GESS 1900 · Sex, Power and Culture96
Women's & Gender Studies
This course invites students to learn the skills necessary to identify, analyze, and ultimately transform the cultural, social, and political forces that shape and are shaped by sex and sexuality. Approaching sexuality as a system of norms,…
This course is the first in a sequence of two courses (see GESS 4/6950) on feminist and queer theory. The primary goals of this course are 1) to provide an introduction to early feminist theories of patriarchy, women's oppression, and…
This course is an advanced seminar in feminist and gender theory. The primary focus is critical engagement with social, political, and cultural theories of the social construction of gender and gender difference, and of the sources, causes,…
None. Tulane University Women's & Gender Studies has 8 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.