> "A 100% open and free journal cannot achieve selectivity without having some judgement and bias applied."
Establishing reputation is the central challenge for a lot of the internet. Sorting spam from mail, sorting useful search results from SEO, sorting legit programs from malware on app stores.
"Let's just have a small handful of people manually review everything" is not a terrible first approach! It is the naive solution, and will work if you don't have to scale. It even worked for search for a couple years.
And you might argue that it's ok for journals to keep doing that because they don't have to scale. They don't have to review, rate, and publish everything good. They can have a very, very tiny output and it's ok.
But there is some cost to rate limiting scientific output.
So I'm surprised there hasn't at least been a good competitor incorporating what we've learned from other domains. It wouldn't be the same, but at least trying to use some things like citation counts and reader behavior for an initial guess at what deserves review.
All the arguments that "we need a small group of professionals curating these" lose a little weight in a replication crisis.
If you really wanted to try this, you might want to go after low hanging fruit. Someone should make a nutritional science journal, using purely algorithmic data to score proposals. Not much to lose there.
https://io9.gizmodo.com/i-fooled-millions-into-thinking-choc...