Section outline

  • Lecture:  Intersectionality

    Methods for investigation of  intersection between different dimensions of vulnerability

    Faculty:  Paul Wesson

    • Session Audio/Video Recording (Access restricted to registered students):

    • Watch 2020 Media Resource
      Not available unless: You belong to a group in Registered Students Only
    • Required Reading:

    • Bowleg Intersectionality 2012 File
      Not available unless: Your ID number contains 02
    • Bauer SSM 2014 File
      Not available unless: Your ID number contains 02
    • Veenstra - Race, gender, class, sexuality (RGCS) and hypertension File
      Not available unless: Your ID number contains 02
    • Optional Reading:

    • Coley birth File
      Not available unless: Your ID number contains 02
    • White SSM-2018 File
      Not available unless: Your ID number contains 02
    • Viruell-Fuentes IntersectionalityImmigration 2012 File
      Not available unless: Your ID number contains 02
    • English PV 2018 File
      Not available unless: Your ID number contains 02
    • VanderWeele SEM AJE 2012 File
      Not available unless: Your ID number contains 02
    • Logie PV 2018 File
      Not available unless: Your ID number contains 02
    • Intersectionality: Kimberle Crenshaw, The urgency of intersectionality:


    • Assignment: Below are discussion questions we will consider in class, that you should be thinking about as you do the reading. If you will not attend class, please submit written responses to each question (email to meghan.morris@ucsf.edu ).

      Bowleg:
       
      1. How does intersectionality relate to the socioecological model? To Krieger’s metaphor of the fractal?
      2. What are the biggest challenges you see to incorporating intersectionality into your work? What are the benefits?
       
      Bauer:
       
      1. The question of whether all intersectional positions are of equal value is important for both analysis and results interpretation. Provide one or two suggestions for assessing whether individual intersectional positions deserve different value weighs, how you would go about assessing this conceptually and analytically.  
      2. In your own words describe what chunkwise model building is and how it may enhance analytic approaches for health disparities research. And how this enhances results interpretation related to intersectionality?

      Veenstra:

      1. How does this paper use statistical methods to model intersectionality? 
      2. Why do you think Veenstra states that “statistical significance is typically granted more ‘significance’ in quantitative intersectional analyses than it deserves”? (page 3)
      3. How did the intersectional analysis in this paper deepen the understanding of the patterning of hypertension, as compared to an additive model?