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Fall 2020 UTK Colloquium, Physics and Astronomy - Shared screen with speaker view
Michael Raymond Fitzsimmons
21:54
What does parity mean?
Ben Thornberry
22:26
Equal # of men and women
Nadia Fomin
22:29
Yep.
Aidan Burleson
22:30
"the state or condition of being equal, especially regarding status or pay"
Mu-Hung Chang
24:52
Is this Astro data included in the previous physics data?
Christine Elizabeth Nattrass
25:59
note that's an ABSOLUTE NUMBER of African American women in physics
Christine Elizabeth Nattrass
26:12
a
William Raphael Hix
33:10
This is obviously anecdotal but I’ve now seen several women get their PhD but drop out of the academic track because they didn’t have the latitude to move widely because of family issues.
James Isaiah Ternullo
43:20
Is this because people cling to people they think they can trust? You're a religious person, you must be trustworthy, type thoughts?
Christine Elizabeth Nattrass
44:15
This is why we need to write down qualities we're looking for before we make hiring decisions, then check if we've been honest
Matthew Klingerman
46:13
How many resumes were reviewed in that experiment?
Tova Holmes
46:39
I believe it’s just one resume
Matthew Klingerman
47:08
Identical resumes, I mean how many reviewers were participating
Nadia Fomin
47:36
the slide says 63 men and 64 women, I think (or the other way around)
Christine Elizabeth Nattrass
47:48
this experiment has been reproduced MULTIPLE times with different set ups
Christine Elizabeth Nattrass
48:26
This is only ONE example of these studies, the one where the evaluators were scientists
Christine Elizabeth Nattrass
48:50
Basically every study sees this.
Christine Elizabeth Nattrass
49:12
Effects are similar for names associated with ethnic minorities
Christine Elizabeth Nattrass
55:51
I love this study
Tova Holmes
57:20
i recommend his book, whistling vivaldi!
Christine Elizabeth Nattrass
58:09
We will do an experiment in this this year because the GRE subject test isn't even available.
James Neuhaus
58:38
I was told the GRE was a strong predictor for UT's qualifying exam.
James Neuhaus
59:44
Is this not true, or is the qual also biased?
Michael Raymond Fitzsimmons
59:45
But is the UT physics qual defined as success?
Nadia Fomin
01:00:05
It is. But, that's just exam performance predicting other predicting other exam performance. What it is NOT a good predictor is who finishes the PhD program.
Tova Holmes
01:00:16
btw if you want to learn more about stereotype threat, this is a great article written by claude steele as well
Tova Holmes
01:00:17
https://www.theatlantic.com/magazine/archive/1999/08/thin-ice-stereotype-threat-and-black-college-students/304663/
James Neuhaus
01:01:09
It follows that the qual is then biased, then
Michael Raymond Fitzsimmons
01:01:14
Men may also support women’s voices
James Neuhaus
01:01:46
(Don't edit your post without reading, then) =)
Christine Elizabeth Nattrass
01:02:02
The GRE is a relatively weak predictor of performance on the qual. Studies have asked this about other qualities. between Gre score, grades, and letters of recommendation, gre scores are the best predictor of qual scores
Christine Elizabeth Nattrass
01:03:07
The qual probably is somewhat biased. we probably could have more equal outcomes by saying its gender equal at the top :)
Christine Elizabeth Nattrass
01:03:42
Generally test scores are lower for women and minorities after controlling for other factors
Michael Raymond Fitzsimmons
01:03:50
We don’t learn how to mentor. It’s generally not taught.
James Neuhaus
01:03:57
^
Christine Elizabeth Nattrass
01:04:13
A partial answer is not to use only one factor in evaluating people
Kate Grzywacz-Jones
01:05:22
https://teaching.utk.edu/teaching101/mentoring-graduate-students/
Austin Hoover
01:05:38
I’m curious, what happens when people take these unconscious bias tests a second time?
Nadia Fomin
01:06:36
Austin - you can try the Harvard one. It takes longer to train yourself to "pass" it.
James Neuhaus
01:06:57
We are very international and South Asian.
Christine Elizabeth Nattrass
01:06:58
The first time I took it I actually associated women with stem fields. The second time I was in the middle of a major issue where I was being harassed and not getting credit for my work and then I associated men with stem fields.
Christine Elizabeth Nattrass
01:08:46
Harassment is real and pervasive.
Christine Elizabeth Nattrass
01:09:26
Also, I've seen a lot of it among younger people, like under 40.
Christine Elizabeth Nattrass
01:09:34
A LOT
Christine Elizabeth Nattrass
01:09:44
DO NOT HARASS PEOPLE
Rosa Luz
01:11:25
might be of your interest:https://gender-gap-in-science.org/2020/06/25/gender-gap-in-science-book/
Tova Holmes
01:15:47
as computer science became more prestigious, women were forced out of the field
James Isaiah Ternullo
01:16:39
What about all of these things on a more general scale. Like People who look down upon people with a different "Look" than theirs, or aren't one of their own? do it go this general? are there other studies based on visual bias?
Aidan Burleson
01:21:14
I find it interesting that there is a correlation with Catholic countries. Is there any understanding or studies done on why this is?
James Isaiah Ternullo
01:23:28
Racism is learned... some people choose not to be educated properly.
Michael Raymond Fitzsimmons
01:24:08
5-sigma? Not in neutron scattering!
Matthew Klingerman
01:24:51
For example the percent confidence of the $4000 dollar difference is only 60%, rather than the accepted 95% value we're used to