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Yeshiva University · Political Science

1.8% of Yeshiva University's Political Science course descriptions are framed from the left. Across all 100 schools' Political Science departments, it is 5.2%.

ShowCompared withDepartments

0%35%

Yeshiva University: 1.8% Political Science at all 100 schools: 5.2% each other school in the comparison

Where Political Science 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 framing). 100 = far left, 50 = the average American, 0 = far right.

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Framing Subject

Underlined: words the model quoted from the description when we asked it, after scoring, to explain its score.

Furthest left

POLI 2165 · Women and Politics67

Political Science

Analysis of how gender shapes the social, economic, and political possibilities for women. Various topics addressed such as education, employment discrimination, violence against women, welfare, reproduction and other current political debates.

Furthest right

None. Yeshiva University Political Science has 1 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
Yeshiva University · Political Science	bias_left_share	1.8	—	57	—
Political Science	bias_left_share	5.2	4.8 – 5.6	12,053	—

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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