(no title)
techas
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9 months ago
I work in academia and have over 70 papers published.
I Agree with most ideas in the article.
Another dimension not covered is what I called “author engineering”.
Many times it is very difficult to “get into” a new field if you don’t have an author known by the editors. I work in applied math (very transversal) and happen to me often to be rejected because “I don’t belong to the area”.
PhD students usually don’t suffer from this as the supervisor is already a member of the community. But if not, try to bring a collaborator that is known in the area. This is usually done in conferences by chatting with people.
fl4tul4|9 months ago
bonoboTP|9 months ago
317070|9 months ago
The most fun in science can be had when done at home and shared with friends.
isaacremuant|9 months ago
Which is why it's so funny when you see non skeptical appeals to "the god of science" which apparently exists in a vacuum of correctness and ethical purity.
gbacon|9 months ago
https://maxwellforbes.com/posts/dont-try-to-reform-science/
intended|9 months ago
As long as It has some capacity to self correct, it’s a stable function.
tux3|9 months ago
Thankfully the scientific process is incredibly resilient to nonsense, because a bad result will eventually screw up someone's future work when they come to rely on it. But it's not pretty.
Majromax|9 months ago
Although there's plenty of critique to go around about the review system, machine learning here typically uses double-blind peer review for the major conferences. That blinding is often imperfect (e.g. if a paper very obviously uses a dataset or cluster proprietary to a major company), but it's not precise enough to reject a paper based on the author being an unknown.
nicce|9 months ago
bonoboTP|9 months ago
dagw|9 months ago
techas|9 months ago
So I assume that it is not done to keep outsiders out of your garden…
Honestly, I don’t find any other reason to don’t apply it.