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
ECON 57 · Data Analysis for Economic Policy:67
Economics
Economics of Career and Family This course examines the changing significance, timing, and meaning of career, family, and marriage, with special emphasis on the economic role of women and on determinants of gender gaps. For example, the gap…
Government policies exert a pervasive influence over the economy and people’s wellbeing. This course first analyzes the economic effects of public policies in the areas of environmental pollution, social insurance, retirement income,…
The eighteenth-century Scottish philosopher Adam Smith was one of the founders of "political economy," the study of the interrelationship between society, government, and the economy. This course focuses on Smith's major ideas through his…
America: Argentina and Chile Latin America has been a region buffeted by major economic and political shocks over the past century (military coups to democratization, closed trade policies to openness, macroeconomic instability and…
This course examines how politics, economics, and culture have shaped the modern Chinese economic policy. Course topics include the Mao era, the pathologies of socialism and central planning, and the post-Mao transition to the market.…
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.