Bububububu…muh diversity hires!!
Whiteness predicts career success in sociology, net other factors
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They define �career success� as number of grad students advised. That�s fie/c/king st0/opud to begin with. Who cares about that metric at all? ASR is really in the toilet these days.
Seriously. Arguably a mark of career success is avoiding advising like the plague. Any minute spent bringing some l00ser grad up to speed is a minute I’m not spending publishing.
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They define ?career success? as number of grad students advised. That?s fie/c/king st0/opud to begin with. Who cares about that metric at all? ASR is really in the toilet these days.
Seriously. Arguably a mark of career success is avoiding advising like the plague. Any minute spent bringing some l00ser grad up to speed is a minute I�m not spending publishing.Non-academic detected. If you're not training the grads, you're not good enough to, or you're being disciplined to the extent tenure at your institution allows.
The only exception is going to be super old deadwoods with undeserved royalty status. These people are very successful and away from the grads. Not common enough to significantly skew the data.
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They define ?career success? as number of grad students advised. That?s fie/c/king st0/opud to begin with. Who cares about that metric at all? ASR is really in the toilet these days.
Seriously. Arguably a mark of career success is avoiding advising like the plague. Any minute spent bringing some l00ser grad up to speed is a minute I?m not spending publishing.
Non-academic detected. If you're not training the grads, you're not good enough to, or you're being disciplined to the extent tenure at your institution allows.
The only exception is going to be super old deadwoods with undeserved royalty status. These people are very successful and away from the grads. Not common enough to significantly skew the data.I’m an R1 prof and 40% of the profs did 90% of the advising in my HRM department.
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They define ?career success? as number of grad students advised. That?s fie/c/king st0/opud to begin with. Who cares about that metric at all? ASR is really in the toilet these days.
Seriously. Arguably a mark of career success is avoiding advising like the plague. Any minute spent bringing some l00ser grad up to speed is a minute I?m not spending publishing.
Non-academic detected. If you're not training the grads, you're not good enough to, or you're being disciplined to the extent tenure at your institution allows.
The only exception is going to be super old deadwoods with undeserved royalty status. These people are very successful and away from the grads. Not common enough to significantly skew the data.Explain why this should be the measure of career success. Most academics would measure success in terms of prestige of degrees and job, prestige of publications, number of cites, salary, desirability of location, etc. Being a good adviser won’t even get you tenure at a LRM.
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They define �career success� as number of grad students advised. That�s fie/c/king st0/opud to begin with. Who cares about that metric at all? ASR is really in the toilet these days.
No they don't. You didn't read the article and/or you need to go back to methods 102, with a focus on event history analysis.
They use the event of becoming an advisor, which is indeed reasonable for what the authors claim it to be: "a conservative proxy for academic success".
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They define ?career success? as number of grad students advised. That?s fie/c/king st0/opud to begin with. Who cares about that metric at all? ASR is really in the toilet these days.
No they don't. You didn't read the article and/or you need to go back to methods 102, with a focus on event history analysis.
They use the event of becoming an advisor, which is indeed reasonable for what the authors claim it to be: "a conservative proxy for academic success".Why not use number of citations, or salary? Why use a metric that no one in the profession would ever use?
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Data availability, I'm sure.
Cites and salary are widely available and much easier to get than advising data. Try again!They used that DV because it's within the same data set as the dissertation authors. They didn't have to comb and combine another set of data. So yes, it's the data availability.
BTW, I'd recommend Paul Alison's book.
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I�d call that la/zines, not availability. We can�t be bothered to collect data on the metrics that people actually use�even though it�s public in the Internet�so we�ll just use this other metric that no one in the industry would ever use.
You don't like that outcome, even though it is reasonable for what they claim it represents (becoming an advisor is a rough, but reasonable representation of being a TT faculty member). That's fine. You should do that follow-up study!
But do make sure your modeling can handle censoring of information ;)