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University of Florida

University of Florida's course descriptions average 63.6 on the 100-to-0 ruler: clearly left of center. Across all 100 schools, the average is 67.5, so University of Florida reads 3.9 points further right.

ShowCompared withDepartments

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

University of Florida: 63.6 (likely range 61.9 to 65.4) All 100 schools: 67.5 each other school in the comparison

Where its courses fall

0%Far left92–100

5%Left75–91

91%Center-left59–74

5%Center42–58

0%Center-right26–41

0%Right9–25

0%Far right0–8

22 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

WST 3800 · Sexual Ethics75

Women's & Gender Studies

Approaches sexual ethics as the integration of care, respect, mutuality, and reciprocity into sexual practices. Critically interrogates socio-cultural discourses about sex/gender/sexuality and their contexts. Explores how gender, race,…

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AFA 2390 · Race and Sports in America70

Ethnic & African American Studies

Examine race, racism, and racialization in the sporting context in order to understand many salient issues in American society such as nationalism and patriotism, capitalism, sexism, oppression, etc. See the ways sports influence racial…

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WST 3325 · Violence Against Women70

Women's & Gender Studies

Approaches all forms of violence against women as a continuum and challenges assumptions regarding violence against women with empirical evidence. Adopts an intersectional approach to fully understand violence against women. Explores the…

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Furthest right

None. University of Florida has 22 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 61.9 to 65.4; a comparison whose range overlaps this one is not a reliable difference.

Only 22 of University of Florida'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 Florida by department (share of courses described from the left)

Department	Left-framed share	Courses
Women's & Gender Studies	25.9%	27	view
Sociology	13.3%	30	view
Psychology	4.3%	46	view
Ethnic & African American Studies	4%	25	view
History	2.8%	142	view
Anthropology	1.3%	78	view
Political Science	1.3%	80	view
Art & Art History	1.1%	177	view
Economics	0%	67	view
English & Comparative Literature	0%	115	view
Philosophy	0%	46	view
Religious Studies	0%	69	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
University of Florida	mean_bias_score	63.6	61.9 – 65.4	902	22
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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