Earlier quoted context omitted.
Are you complaining about the capitalisation of racial groups, or the capitalisation of a specific racial group?
https://apnews.com/article/9105661462
That is asinine.
Gender and Race Preferences in Hiring at Silicon Valley Tech Firms [pdf]
11–20 of 198 posts
Re: Gender and Race Preferences in Hiring at Silicon Valley Tech Firms [pdf]
#12Surprising study results regarding women being more likely to receive a callback than men. From personal experience and the teams I've been on, women have always been in the minority, along the lines of 8-10 men for every two women. However, I am not in Silicon Valley.
We need more studies in this area. I'd also like to see studies that include other possible sources of discrimination (gender identity, age) that are known to exist in some areas. Without those other sources included in the data it's possible those sources could be skewing the data.
One scenario might be that most of the women were young (20s-early 30s), while many of the men were older (late 30s to early 50s). Just one possible scenario, I'm not saying that was the case. But in that scenario the bias could be against older candidates rather than for female ones.
Re: Gender and Race Preferences in Hiring at Silicon Valley Tech Firms [pdf]
#13Key point of the abstract: Women: +9 to +10% chance of callback relative to men Black, Hispanic, and Asian: -8 to -13% chance of callback relative to White people. Anyway, kudos (I guess?) to the researchers for choosing the absolutely most fashionable subject they could possibly study in this day and age.
Would be interesting to separate Asian applicants into their own group.
Re: Gender and Race Preferences in Hiring at Silicon Valley Tech Firms [pdf]
#14Earlier quoted context omitted.
Are you complaining about the capitalisation of racial groups, or the capitalisation of a specific racial group?
https://apnews.com/article/9105661462
OK so the latter. This is racist against both white people that somehow don't deserve capitalisation based on their skin color and black people in the US who don't share the limited concept of black the AP uses.
Re: Gender and Race Preferences in Hiring at Silicon Valley Tech Firms [pdf]
#15I'm reminded of a quip I came across in the conversation around the George Floyd killing - "Being a black man in America is like being a man only more so".
I guess in the case of SV hiring outcomes, this is literally true!
Re: Gender and Race Preferences in Hiring at Silicon Valley Tech Firms [pdf]
#16There's a fascinating study on orchestra auditions, where it was found that performing blind auditions (where the interviewee's identity is hidden to the interviewer) led to more equitable gender representation: https://gap.hks.harvard.edu/orchestrating-impartiality-impac...
IMHO, if the tech industry wants to live up to its narrative of meritocracy, this is one obvious improvement over existing processes. No, it won't take care of pipeline problems; no, it won't solve the "tipping point" problem (i.e. where candidates of underrepresented groups are dissuaded by a lack of pre-existing representation, making it very hard to go from zero to one, so to speak). That said, we're uniquely positioned as an industry to do this - technical interviews are similar to auditions in that they hinge on skill-based performance - so why not? It can't be any less arbitrary than asking random questions about manhole covers and light bulbs.
I'd posit that even the "show your thinking process" parts could be done in this way - e.g. via text chat, or inline comments, or maybe even using voice obfuscation and/or neutral avatars.
Re: Gender and Race Preferences in Hiring at Silicon Valley Tech Firms [pdf]
#17Earlier quoted context omitted.
Are you complaining about the capitalisation of racial groups, or the capitalisation of a specific racial group?
https://apnews.com/article/9105661462
So if they don't capitalize "white", because that's what white supremacists do, what does that say about capitalizing "black"?
A good number of the people pushing the "Black" spelling are openly Afrocentric, or profess to be.
Re: Gender and Race Preferences in Hiring at Silicon Valley Tech Firms [pdf]
#18I always try to give the recruiter no indication of race or gender. Frankly, if we all did that it would remove the bias. The challenge is, I suspect they ask for race & gender is intentionally requested to add bias . I’ve worked with recruiters and part of the job is indeed targeting “under represented” groups to improve the figures.
Well, you do give them their name, that's a strong indication of race and gender for most people, isn't it?
Sure, my name is unisex though. Race might be obtained, but honestly even that is questionable
Re: Gender and Race Preferences in Hiring at Silicon Valley Tech Firms [pdf]
#19I always try to give the recruiter no indication of race or gender. Frankly, if we all did that it would remove the bias. The challenge is, I suspect they ask for race & gender is intentionally requested to add bias . I’ve worked with recruiters and part of the job is indeed targeting “under represented” groups to improve the figures.
Unfortunately, the study finds that the bias persists even past the initial stages:
> These outcome gaps do not cancel-out in the later stages, as female and White applicants are more likely to receive an interview and offer.
Though it does at least help candidates avoid bias in getting a callback:
> To further address endogeneity concerns, we perform quasi-experimental analysis involving applicants whose race and gender are ambiguous to the recruiter in the initial application review stage, but are later revealed in the phone screen stage. We find that ambiguity in applicants’ race and gender attenuates the main effects of race and gender on receiving a callback – that is, the outcome gap in callback disappears for applicants whose race and gender are ambiguous to the recruiter
Re: Gender and Race Preferences in Hiring at Silicon Valley Tech Firms [pdf]
#20Key point of the abstract: Women: +9 to +10% chance of callback relative to men Black, Hispanic, and Asian: -8 to -13% chance of callback relative to White people. Anyway, kudos (I guess?) to the researchers for choosing the absolutely most fashionable subject they could possibly study in this day and age.
"Fashionable"? Being so dismissive of the push for racial equality is deeply arrogant and small minded.