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Rice University · Economics

0.9% of Rice University's Economics course descriptions are framed from the left. Across all 100 schools' Economics departments, it is 1.5%.

0%20%
Rice University: 0.9% Economics at all 100 schools: 1.5% each other school in the comparison

Where Economics courses fall

0%Far left92–100
0%Left75–91
100%Center-left59–74
0%Center42–58
0%Center-right26–41
0%Right9–25
0%Far right0–8
1 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.

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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 484 · PUBLIC ECONOMICS: EXPENDITURES62

Economics

Provides an economic analysis of the theory and practice of government expenditure policy, focusing on issue related to efficiency and equity. Analyzes issues related to budget deficits, government debt, and fiscal sustainability. Special…

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Furthest-right subjects

None. Rice University Economics has 1 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.
Details: exact rows, definitions and method
NameMetricValue95% intervalnscored
Rice University · Economicsbias_left_share0.9—112—
Economicsbias_left_share1.51.3 – 1.88,432—
Formula
100 * count(bias_cat = 'L') / n
Interval
Wilson score 95% (wilson_interval)
Model / prompt / snapshot
gpt-5.6-sol · r12 (2026-10-16-le49-r12) · 6df50b10
Metric caveats
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.

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