@keira_reckons
Literature reviews are a fundamental part of any research and writing reseach papers. Given that almost all scientific/academic research is based on, or builds upon precedents. I donโt understand how we got to where we are today. Maybe the way #managerialism has corrupted many fine institutions with the ensuing #NeoLiberalFailures resulting in a lack of public funding and a scurrying for non-public funds (a potentially corrupting actor in any research) is the prime cause.
We;ve failed our #Scientific and #Academic Institutions and continue to fail them with each successive neoliberal govt.
#TaxTheRich #noBillionaires #PublicFinding #Education #Research #ResearchPapers

Peer review shapes which scientific claims enter the published record, but its internal dynamics are hard to measure at scale because reviewer criticism and author revision are usually embedded in long, unstructured correspondence. Here we use a fixed-prompt large language model pipeline to convert the review correspondence of \textit{Nature Communications} papers published from 2017 to 2024 into structured reviewer--author interactions. We find that review pressure is concentrated in the first round and focused disproportionately on core claims rather than peripheral presentation. Higher average opinion strength is also associated with more reviewer disagreement, while review patterns vary little with broad team attributes, consistent with relatively impartial evaluation. Contrary to the intuition that stronger papers should pass review more smoothly, with greater reviewer--author agreement and less extensive revision, we find that stronger criticism, higher-quality comments, and greater revision burden are associated with higher later citation impact within accepted papers. We finally show that fields differ more in review style than in review length, pointing to disciplinary variation in how criticism is negotiated and resolved. These findings position open peer review not just as a gatekeeping mechanism but as a measurable record of how influential scientific claims are challenged, defended, and revised before entering the published record.
Send the arXiv AI-generated slop, get a yearlong vacation from submissions
One of the siteโs moderators described the new policy on social media.
#ai #ai-slop #arxiv #preprints #science #scientific-publishing
https://arstechnica.com/science/2026/05/preprint-server-arxiv-will-ban-submitters-of-ai-generated-hallucinations/
Though the results of #public feedback from the #Water #Availability #Engagement has not been made available, it appears that the proposed changes are not consistent with the #concerns expressed in the #consultation.
There is a dearth of #scientific #observation on the #ecological impacts of inter-basin water #transfers. As such, precaution is imperative.
2/24
RE: https://fediscience.org/@petergleick/116581005455443294
When these #fascists/#eugenicists get ill, they should be deprived of the #medicines that have been developed because of the #scientific research that they are so committed to eviscerating.