The internet created a lot of new mediums. Blogs, vlogs, tl;dr culture, explainer videos, Twitter, podcasts, clickbait, ELI5, etc. It seems like we never saw new mediums emerge for academia. Probably because the same institutions are consuming and generating the content?
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Replying to @backus
I don’t think of it like that. Journals build brands, and academics who contribute to the journals convert those brands into reputation for themselves, and thus into jobs. So the journals are competing on brand (mostly impact factor and similar), not the quality of the medium.
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Replying to @michael_nielsen @backus
To pick a slightly self-interested example: most ML researchers would (currently) rather have a NIPS paper than a distill paper, even though the latter is a much more interesting medium. Why? The former has a better chance (at present) of getting you a job
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Replying to @michael_nielsen @backus
This can and does change, but usually very slowly. One of the cleverest things done in establishing the preprint arXiv was to recruit leading physicists like Andy Strominger and Ed Witten to contribute in the first few days. Wham! Brand established.
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Replying to @michael_nielsen
Great points. I was talking from a fuzzier perspective. Distill represents one shift where more time and effort goes into a paper, but going in the reverse direction and embracing more casual mediums also seems interesting
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Replying to @backus @michael_nielsen
For a lot of "learning in public" as
@nayafia put it, there aren't expectations about the medium you use in the first place. People can pick between blog posts, tweets, emphasizing visuals, switching up tone, playing w/ how data-oriented vs argument oriented their writing is, etc3 replies 0 retweets 3 likes -
Replying to @backus @michael_nielsen
yup! I think brand is the ultimate validation metric (in that sense I think you're both agreeing). For an academic career, perhaps journals are the primary path to brand. But if the goal is just "research that people pay attention to", you suddenly have more options
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I just mean that if you sit in an academic hiring meeting, or are helping decide on grants, 9 out of 10 people will usually be concerned with things like “how good a journal is that”? Etc. It’s a bad system, but it’s how much hiring works.
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An amusing fact is that organizations which go beyond that can do very well for themselves. I can think of a few hires where (a) they did badly by standard metrics; but (b) someone crucial in the org truly engaged with the actual work, ignoring the metrics.
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Replying to @michael_nielsen @nayafia
Yeah this reminds me of a hiring/recruiting tip. Basically, it is good to ignore certain signals like top tier university and impressive job history not because they aren't good signals, but because everyone is aware of them. Better if you can identify diamonds in the rough
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