Last week the IHME diversity club discussed a recent JAMA viewpoint on “Medical Education and the Minority Tax”. I think this is a good way to frame an important issue:
A Piece of My Mind
May 9, 2017
Medical Education and the Minority Tax
Kali D. Cyrus, MD, MPH1
Author Affiliations Article Information
JAMA. 2017;317(18):1833-1834. doi:10.1001/jama.2017.0196
I sat down at the large conference room table surrounded by the other medical students, some of whom I recognized from earlier stops on the residency interview trail. As they continued their conversations, I looked around, realizing I was once again the only interviewee who is black. I kept gazing around the room, only to find more faces staring back that did not look like me. Hanging grandly from the walls were faces, painted in watercolor, framed in bronze, and undoubtedly of really important men … really important white men.
Early this month, the IHME Diversity Club discussed the recent paper, Transgender Population Size in the United States: a Meta-Regression of Population-Based Probability Samples, by Meerwijk and Sevelius from AJPH: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5227946/
This helped us dig into trans and non-binary gender and how it relates to our work in health metrics.
This last diversity club we discussed power and privilege, and we used White Privilege: Unpacking the Invisible Knapsack by Peggy McIntosh as the reading. https://nationalseedproject.org/images/documents/Knapsack_plus_Notes-Peggy_McIntosh.pdf
After discussing enough to get people who didn’t have time to read thinking about things, we broke out in groups of 3 or 4 do have smaller discussion with these three prompts:
Round one: What are one or more ways in which you’ve had unearned disadvantage in your life?
Round two: What are one or more ways in which you’ve had unearned advantage in your life?
Round three: What is it like for you to sit here and talk about and hear about these experiences of unearned advantage and disadvantage?
For Diversity Club this week we are going to discuss stereotypes. What are stereotypes, and why do they exist? We have selected a technical paper of modest length to be the focus of this discussion: Susan T. Fiske. Warmth and Competence: Stereotype Content Issues for Clinicians and Researchers. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3801417/
(Since this is running from 12:30 to 1:30, it seems worthwhile to remind you that you can bring your own lunch if you would like to eat while we meet.)
Hi Again All,
This week we are going to discuss bias against women in the workplace. Here is a short reading from the American Bar Association:
I hope to see you there!
Ooh, that looks cool. You could possibly use composite strategies https://hypothesis.readthedocs.org/en/master/data.html#composite-strategies for testing dataframes.
From: Joe A. Wagner
Sent: Thursday, February 25, 2016 11:03 AM
To: Abraham D. Flaxman
Subject: property based testing
Have you seen hypothesis? It looks really useful. I’ve been meaning to incorporate it into my code, but I’m having a hard time defining properties of data frames (which is usually the input of most of my functions).
This long-read from vox.com would be 13 pages if I printed it, but it is for a general audience, so it’s not like a 13 page research paper.
Linked from the link is this amazing video: