Intersectionality Study Guide

📖 Core Concepts Intersectionality – analytical framework that studies how multiple social‑political identities (e.g., race, gender, class, disability) combine to create distinct patterns of oppression and privilege. Interlocking oppressions – the idea that systems of power (racism, sexism, heteronormativity, etc.) do not act separately; their effects are intertwined. Matrix of domination – Patricia Hill Collins’s model showing vectors of oppression/privilege that interact in a “matrix” where the impact of one factor depends on the presence of others. Standpoint theory – knowledge is situated; a person’s viewpoint is shaped by their intersecting identities and lived context. Forms of intersectionality – structural (systemic inequalities), political (movement strategies), representational (media/culture), strategic (coalition‑building), transnational (global‑capitalist and colonial dimensions). 📌 Must Remember Coined by Kimberlé Crenshaw (1989) to explain the unique oppression of African‑American women. Key legal cases illustrating missed compound discrimination: DeGraffenreid v. GM, Moore v. Hughes Helicopter, Payne v. Travenol. Three‑branch model (Collins, 1990s): background/debates, analytical strategies for institutions, social‑justice applications. Structural intersectionality → health outcomes: overlapping racism, sexism, and income inequality → higher maternal mortality for Black women. Quantitative challenge – no universally accepted statistical method; additive models can mask multiplicative effects. 🔄 Key Processes Identify intersecting axes (race, gender, class, etc.) for a population or case. Map vectors of oppression using a matrix: place each axis on rows/columns, note how they amplify/mitigate each other. Select analytical strategy Qualitative: narrative inquiry, lived‑experience interviews. Quantitative: interaction terms, stratified analyses, graphical causal models. Apply to policy or practice – conduct an intersectional impact assessment: a. Define policy scope. b. List affected identity groups. c. Evaluate potential compounded harms/benefits. d. Recommend mitigation measures. 🔍 Key Comparisons Structural vs. Political Intersectionality – Structural: focuses on systemic, institutional inequalities (e.g., housing, healthcare). Political: examines how movements and legislation treat multi‑identified groups. Additive statistical model vs. Interaction model – Additive: sums independent effects → may miss synergistic harms. Interaction: includes product terms (e.g., Race × Gender) → captures non‑additive dynamics. Western (WEIRD) intersectionality vs. Transnational intersectionality – Western: originated in U.S. legal scholarship, often centered on Black women. Transnational: incorporates colonial histories, global capitalism, and non‑Western power relations. ⚠️ Common Misunderstandings “Just a list of identities” – Intersectionality is not a checklist; it analyzes how identities intersect, not merely that they coexist. Assuming effects are additive – Oppressions often interact multiplicatively; a Black woman’s experience ≠ Black man + woman. Equating with “diversity” programs – Intersectionality critiques power structures; it is a theoretical lens, not a superficial inclusion tactic. 🧠 Mental Models / Intuition “Matrix Lens” – Picture a grid where each axis is a social category; the color of a cell shows the unique lived reality. The whole grid, not any single row or column, tells the story. “Simultaneity” – Think of several lights turning on at once; the room’s brightness is not the sum of individual bulbs but the combined illumination. 🚩 Exceptions & Edge Cases Legal contexts – U.S. anti‑discrimination law (Title VII) often fails to recognize compound claims; courts may still treat claims separately despite intersectional evidence. Quantitative data gaps – When survey instruments lack items on certain identities (e.g., disability + caste), statistical analysis cannot capture those intersections. Cultural specificity – Some concepts (e.g., “caste”) have no direct analogue in Western contexts; researchers must adapt the matrix to local social hierarchies. 📍 When to Use Which Policy impact assessment → use political intersectionality to evaluate how a law may marginalize multi‑identified groups. Health outcome research → apply structural intersectionality plus interaction models to explain disparities (e.g., maternal mortality). Media analysis → employ representational intersectionality to critique portrayals of intersecting identities. Cross‑national studies → adopt transnational intersectionality to account for colonial legacies and global power flows. 👀 Patterns to Recognize Compounded risk clusters – When two or more marginalizations appear together (e.g., low income + immigrant status), outcomes often worsen disproportionately. Single‑axis policy blind spots – Laws that address “gender discrimination” but ignore race often leave women of color unprotected. Narrative themes – Recurrent stories of “being invisible” within both feminist and anti‑racist movements signal interlocking oppression. 🗂️ Exam Traps Distractor: “Intersectionality = multiculturalism” – Wrong; multiculturalism celebrates diversity without analyzing power hierarchies. Choice suggesting additive effects only – Incorrect; exam questions will test knowledge that effects are non‑additive and require interaction terms. Option that claims intersectionality originated in Europe – Misleading; the term was coined by Crenshaw in the U.S., though European scholars later adapted it (e.g., multiple discrimination in EU/UK). Answer stating “intersectionality eliminates all forms of oppression” – Overstatement; the framework identifies and analyzes oppression, not automatically resolves it.