Great, thanks for the response.
Thanks a lot, this is useful context. I work in academia so the large lead times are relevant, particularly because other 'traditional' funders would require applications well in advance. It would be useful to know whether it was necessary to pursue those other funding routes as a 'career hedge' or not, for example, via a commitment to funding.
I am interested to hear if anyone from LTFF agrees/disagrees with Max's assessment in these circumstances.
Is it possible to apply for a grant when the date you would want the funds is quite far in advance (say, for example, one year)?
A couple of other new publication models that might be worth looking at are discussed here (Octopus and hypergraph, both of which are modular). Also this recent article about 'publomics' might have interesting ideas. Happy to talk about any of this if you are thinking about doing something in the space.
A system somewhat similar to what you are talking about exists. Pubpeer, for example, is a place where post-publication peer reviews of papers are posted publicly (https://pubpeer.com/static/about). I'm not sure at this stage how much it is used, but in principle it allows you to see criticism on any article.
Scite.ai is also relevant - it uses AI to try and say whether citations of an article are positive or negative. I don't know about its accuracy.
Neither of these address the problem of what happens if a study fails to replicate - often what happens is that the original study continues to be cited more than the replication effort.
That view seems reasonable to me and I agree that a clearer analysis would be useful.
An additional and very minor point I missed out from my comment is that I'm sceptical that the relationship between impact factor and retraction (original paper here) is causal. It seems very likely to me that something like "number of views of articles" would be a confounder, and it is not adjusted for as far as I can tell. I'm not totally sure that is the part of the article that you were referring to when citing this, so apologies if not!
Thanks a lot for writing this post. I'm interested in these topics and was just thinking the other day that a write up of this sort would be valuable.
A relevant and fairly detailed write-up (not mine) of this problem area and how meta-research might help is available here: https://lets-fund.org/better-science/ (I didn't see it cited but may have missed it).
In terms of the content of the post, a couple of things that I might push back on a little:
I'd be interested in learning what projects you have planned and discussing some solutions to the problems that you have mapped. I'm quite involved in the reproducible research community in the UK (particularly in Oxford, https://ox.ukrn.org/people/#JamesSmith) so perhaps could be helpful.
Thanks a lot for sharing this. I need to update the post to add this and other research that has been pointed out to me.
For future searching, where/how did you come across that paper?
Good find - thanks for sharing that paper which I hadn't included. If I update the post I'll add that.