SSJ30102
INTERSECTIONALITY & FOOD SYS
- Department
- Sustainability & Soc'l Justice
- Terms offered
- 1
- Data refreshed
- Jun 27, 2026
Description
Course description. (.5 unit). This course will use intersectional analysis to dissect the societal legacies and structural features of food systems in different regions of the world, especially in the Caribbean and Central America. Intersectional analysis examines the socio-cultural, gender, class, and the hierarchical systems which classify, racialize, or are used to dominate human populations, while interrogating the history and the identities of the people who converge upon any given region (or country)-including both the oppressors and the oppressed. Climate change and environmental depletion are causing turmoil in diverse regional scenarios, which are sparkling new identities, collective action, and engendering new forms of resistance and adaptation. Intersectional analysis can offer prolific avenues to explain these forms of resistance and adaptation.
Syllabi
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Offering history & forecast 2026
2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: not enough history to forecast. | 2030 Intersession: not enough history to forecast. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: not enough history to forecast. | 2029 Intersession: not enough history to forecast. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: not enough history to forecast. | 2028 Intersession: not enough history to forecast. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: not enough history to forecast. | 2027 Intersession: not enough history to forecast. |
| 2026 | Not offered | 1 section | Not offered | No data for this term |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first- Tue, 9:00 AM–11:50 AM IDCE House CONF D 2026
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2026 | Ramon Borges-Mendez | Lecture | 0.5 | 13 of 15 enrolled | 34801 |