The ChatGPT phrase “As of my last knowledge update” appears in several papers published by academic journals.
The scientific community is a mess. We need to be able to rely on journals and authors to have an understanding of the world. At this point we need to reverse course hard. Anyone who authors a paper like this is banned. Any journal who publishes one is banned. Any reviewer who approves one is banned. Any professor who approves one is sanctioned (they aren’t reviewers after all) depending on the number they’ve let slip through. P-hacking and similar issues are dealt with appropriately, again scaling with frequency and magnitude of offense. Restrict the p-value threshold by lowering it from 0.05 to 0.01. Encourage replication and null-results. Abolish or severely reduce journal fees. Provide incentives for replication and review.
FaceDeer@fedia.io 9 months ago
This really just shines a light on a more significant underlying problem with scientific publication in general, that being that there's just way too much of it. "Publish or perish" is resulting in enormous pressure to churn out papers whether they're good or not.
AtmaJnana@lemmy.world 9 months ago
As an outsider with a researcher PhD in the family, I suspect its an issue of how the institutions measure success. How many paper? how many cites? Other metrics might work, but probably not as broadly. I assume they will also care about the size of your staff, how much grant money you get, patents held, etc.
I suspect that, short of a Nobel prize, it is difficult to objectively measure how one is advancing scientific progress (without a PhD committee to evaluate it.)
FaceDeer@fedia.io 9 months ago
The saying "when a measure becomes a target it ceases to be a good measure" (Goodhart's Law) has been making the rounds online recently, this is a good example of that.
Ironically, this is a common problem faced when training AIs too.
AnarchistArtificer@slrpnk.net 9 months ago
Yeah, that’s my sense too, as someone within low-level academia. Bibliometrics and other attempts to quantify research output have been big in the last few decades, but I think that they have made the problem worse if anything.
It’s especially messy when we consider the kind of progress and contribution that Nobel prizes can’t account for, like education and outreach. I really like how Dr Fatima explores this in her video How Science Pretends to be Meritocratic(duration: 37:04)