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Yeshiva University

Yeshiva University's course descriptions average 61.7 on the 100-to-0 ruler: clearly left of center. Across all 100 schools, the average is 67.5, so Yeshiva University reads 5.9 points further right.

ShowCompared withDepartments

Liberal (100)center (50)Conservative (0)

Yeshiva University: 61.7 (likely range 56.3 to 67.0) All 100 schools: 67.5 each other school in the comparison

Where its courses fall

0%Far left92–100

0%Left75–91

67%Center-left59–74

33%Center42–58

0%Center-right26–41

0%Right9–25

0%Far right0–8

3 plotted courses (the ones with a political framing). 100 = far left, 50 = the average American, 0 = far right.

See it for yourself

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.

ARTS 1850 · Women in Art60

Art & Art History

This course explores women’s diverse roles as creators, muses, and patrons in the history of art. It covers a wide range of historical periods and critical perspectives highlighting the significance of feminist art history in the…

HIST 2237 · African American History58

History

History of African Americans from their origins in Africa to their current situation in the United States. Focuses on the institution of slavery, showing how it changed over time and how African American culture evolved; the ways in which…

Furthest right

None. Yeshiva University has 3 left-framed courses and not one right-framed course.

Why this number, in plain words

Political lean of course descriptions. Average Framing score (0 = far right, 50 = center, 100 = far left) of the scored courses in the group.

50 is the survey-anchored center of US adults on each issue (the "moderate" place of the ANES/GSS/PRRI seven-label ruler), not the cohort midpoint; scores above 50 read leftward, below 50 rightward.

Counted: courses with a Framing score (categories L/R/B/C). The likely range (95% interval) is 56.3 to 67.0; a comparison whose range overlaps this one is not a reliable difference.

Only 3 of Yeshiva University's descriptions carried a scorable lean, so this average and its rank are rough; the interval is the honest range.
Most course descriptions carry no political lean at all and are not in this average; the "share described from the left" view counts them.
Readings are of catalog description text, not of teaching, syllabi or individual professors.

Yeshiva University by department (share of courses described from the left)

Department	Left-framed share	Courses
Art & Art History	1.8%	55	view
Political Science	1.8%	57	view
History	1.6%	64	view
Economics	0%	37	view
English & Comparative Literature	0%	62	view
Philosophy	0%	35	view
Psychology	0%	36	view
Religious Studies	0%	60	view
Sociology	0%	27	view
Women's & Gender Studies	0%	2	view

Lean (mean Framing score) is not published per department within a school; only the left-framed share is. Department rows carry no interval.

Details: exact rows, definitions and method

Name	Metric	Value	95% interval	n	scored
Yeshiva University	mean_bias_score	61.7	56.3 – 67.0	435	3
All 100 schools	mean_bias_score	67.5	67.4 – 67.7	124,290	10,124

Formula: SUM(bias_score) / COUNT(bias_score)
Interval: normal approximation: mean +/- 1.96 * sd / sqrt(n), sample sd (n-1); undefined when n < 2
Model / prompt / snapshot: gpt-5.6-sol · r12 (2026-10-16-le49-r12) · 6df50b10
Metric caveats: Scored courses only (L/R/B/C); N and I carry no score and are excluded, so n here is smaller than the group's course count. Scores are model readings of catalog description text against a fixed anchored definition, not teaching or syllabi. The interval covers sampling noise in the mean only; it does not represent model reading error. Every value carries a `method` label: exact_rows or histogram_midpoint.

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