Economics
In this course, students analyze the social nature of gender and economic development from a cross-cultural perspective. Topics include household labor, occupational segregation and earnings, inequality in market work, poverty, family…
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Fordham University · Economics
3.8% of Fordham University's Economics course descriptions are framed from the left. Across all 100 schools' Economics departments, it is 1.5%.
0%20%
Where Economics 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
Economics
Migrations continue to reshape the global economy, especially in large cities. The human rights of conflict and climate refugees are major challenges for UN countries. Global inequality is now determined mainly by where you are born. This…
Economics
Fair trade is a global response to social injustice and poverty. Whether it is capital for “startups” or markets for fair trade coffee, the fair trade movement promotes socially and environmental responsibility business practices here and…
Furthest right
None. Fordham University Economics has 5 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 |
|---|---|---|---|---|---|
| Fordham University · Economics | bias_left_share | 3.8 | — | 130 | — |
| Economics | bias_left_share | 1.5 | 1.3 – 1.8 | 8,432 | — |
- 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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