English & Comparative Literature
Grounded in a critical race and cultural theoretic framework, the course explores systems and practices of scientific inquiry as mediated by Whiteness, imperialism, and modernity.
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Georgia Institute of Technology · English & Comparative Literature
1.4% of Georgia Institute of Technology's English & Comparative Literature course descriptions are framed from the left. Across all 100 schools' English & Comparative Literature departments, it is 6.3%.
0%35%
Where English & Comparative Literature 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
Furthest left
English & Comparative Literature
Studies in the development of Postcolonial literary theory and historiography in order to analyze the interdependent discourses and practices of post-Enlightenment science/technology and European imperialism.
Furthest right
None. Georgia Institute of Technology English & Comparative Literature has 2 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 |
|---|---|---|---|---|---|
| Georgia Institute of Technology · English & Comparative Literature | bias_left_share | 1.4 | — | 139 | — |
| English & Comparative Literature | bias_left_share | 6.3 | 6.0 – 6.7 | 19,071 | — |
- 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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