Science as a whole needs to switch to an open, online, crowd-sourced model of publication and review. This is a field where the whole AI/LLM craze could actually be useful as the algorithms would be able to summarize important points (better than the politically-restricted abstract and conclusion), rank studies on novelty, and identify the most common replicability errors. I'm all for human reviewers losing their "jobs" to AI.
Heck why not make the whole exercise crowd-funded while we're at it. Studies funded by governments, NGOs, or industry will always have a specter of bias. Something like Kickstarter or Patreon for research would at least bring science closer to what people are interested in.
Remember folks, peer reviewed just means their fellow cunts agree with them.
Unless you know and respect the journal's structure of rigor and integrity (which should be vanishingly few these days) it means nothing.
Science as a whole needs to switch to an open, online, crowd-sourced model of publication and review. This is a field where the whole AI/LLM craze could actually be useful as the algorithms would be able to summarize important points (better than the politically-restricted abstract and conclusion), rank studies on novelty, and identify the most common replicability errors. I'm all for human reviewers losing their "jobs" to AI.
Heck why not make the whole exercise crowd-funded while we're at it. Studies funded by governments, NGOs, or industry will always have a specter of bias. Something like Kickstarter or Patreon for research would at least bring science closer to what people are interested in.
I agree