First, the #categorization of #political views along a single left-right #axis is almost #useless. This has long been known, and alternatives exist that present a much more accurate picture, but the traditional #media is #addicted to "#left this" and "#right that" and is lazy, so they'll probably never get better.
If you are #skeptical that these sorts of large-scale, centrally-planned #interventions can solve social problems that have existed in #human#societies for hundreds or thousands of years, then you fall towards the bottom end of the #rationalism axis.
If you think about your #beliefs in these two areas, you might find yourself #surprised at where you fit on the chart, and what other belief systems fall near you. It's a lot more #insightful than the #meaningless left-right single axis.
'The myth that men hunt while women stay at home is entirely wrong
An analysis of #foraging#societies from around the world has found that #women#hunt in the vast majority of those looked at, confirming that the idea of gender division in providing food is a myth"
We need more of this — subject-matter experts testing #AI tools for accuracy. Let's scale it up and make it systematic. Many more subject areas and many more AI tools. Repeated periodically to track progress.
This would be a good role for scholarly #societies.
"Scholarly organizations, in particular learned #societies, are now facing a golden opportunity to…support the migration of the scholarly community from #Twitter to #Mastodon…Demonstrating that the scholarly community [can create] a truly public square for scholarly discourse, impervious to private takeover, might…inspire [it] to focus on analogous solutions for…text, data & code – to safeguard all publicly owned scholarly knowledge."