New York University · Ethnic & African American Studies
13.7% of New York University's Ethnic & African American Studies course descriptions are framed from the left. Across all 100 schools' Ethnic & African American Studies departments, it is 24.7%.
0%75%
New York University: 13.7% Ethnic & African American Studies at all 100 schools: 24.7% each other school in the comparison
SCA-UA 554 · Indigenous and Latinx Speculative Film and Fiction80
Ethnic & African American Studies
This course is an investigation of speculative film and fiction as a form of social critique and reparative justice. Speculative film and fiction are not restricted to science fiction, but rather “speculative” refers to all of those forms…
Designed as seminar on contemporary cultural production by Latina feminist artists. Theory/cultural criticism paired with corresponding object of study, i.e. film, fiction, poetry, visual and performance art. First half of course models…
SCA-UA 747 · Introduction to Native American and Indigenous Studies: The Politics of Indigeneity70
Ethnic & African American Studies
This course is a general introduction to the field of Native American and Indigenous Studies (NAIS). The course will introduce students to the central questions and debates of NAIS, including but not limited to: Native American hidden…
None. New York University Ethnic & African American Studies has 7 left-framed courses and not one right-framed course.
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.
Details: exact rows, definitions and method
Name
Metric
Value
95% interval
n
scored
New York University · Ethnic & African American Studies
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.