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University of California-Davis

University of California-Davis's course descriptions average 64 on the 100-to-0 ruler: clearly left of center. Across all 100 schools, the average is 67.5, so University of California-Davis reads 3.5 points further right.

Liberal (100)center (50)Conservative (0)
University of California-Davis: 64 (likely range 61.8 to 66.2) All 100 schools: 67.5 each other school in the comparison

Where its courses fall

0%Far left92–100
8%Left75–91
79%Center-left59–74
13%Center42–58
0%Center-right26–41
0%Right9–25
0%Far right0–8
24 plotted courses (the ones with a political framing). 100 = far left, 50 = the average American, 0 = far right.

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

Furthest left

CHI 136 · Critical & Abolitionist Pedagogies78

Ethnic & African American Studies

How marginalized groups conceptualize learning and teaching as a practice of freedom. Foundational text and concepts in critical pedagogy. Diverse and intersecting intellectual traditions that inform how oppressed peoples use education as a tool of liberation.

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WMS 138 · Critical Fashion Studies75

Women's & Gender Studies

Feminist cultural studies of style-fashion-dress through transnational circuits, personal subjectivities. Fashion as means of gender oppression and liberation. Histories and discourses of masculinities and femininities. Clothing works on…

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ANT 111 · Science & Race72

Anthropology

Race and racial formations in science, technology, and medicine. History of racial thought in scientific and medical research; colonial and decolonial modes of knowledge production; the racialization of technology; intersectional approaches…

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Furthest right

None. University of California-Davis has 24 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 61.8 to 66.2; a comparison whose range overlaps this one is not a reliable difference.

  • Only 24 of University of California-Davis'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.
University of California-Davis by department (share of courses described from the left)
DepartmentLeft-framed shareCourses
Women's & Gender Studies28.6%14view
Sociology8.9%79view
Ethnic & African American Studies4.9%102view
Anthropology2.2%92view
English & Comparative Literature1.9%154view
Political Science1.2%82view
Art & Art History1.1%92view
History1.1%95view
Economics0%70view
Philosophy0%70view
Psychology0%68view
Religious Studies0%75view

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
NameMetricValue95% intervalnscored
University of California-Davismean_bias_score6461.8 – 66.299324
All 100 schoolsmean_bias_score67.567.4 – 67.7124,29010,124
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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