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Nuking Social Constructionism {2/3}

Duration: 38:37Views: 16.9KLikes: 1.3KDate Created: Apr, 2021

Channel: King Crocoduck

Category: Education

Tags: postmodernismphilosophy of sciencesciencepragmatismfeminismcritical theorynaturalismphilosophysocial justicekristi wintersking crocoduck

Description: In this video, we explore the naturalistic origins of the Big 4 Operational criteria, which I take to be the defining qualities of scientific models. I address three potential objections to the Naturalist Nuke, the most important of which involves the 3-Cylinder Defense. Animations by the lovely Warm Horizons, whose art and tweets can be found here: twitter.com/warm_horizons youtube.com/channel/UCpeUZpAfRj6nvS3oK37EBDw "Nuking Social Constructionism" playlist: youtube.com/watch?v=lLqmrYUIPCo&list=PL969utfM58zhJK17s1-uDH4Sh7sIuB7Y5 ***References, in order of appearance:*** NSF News release 12-182 "Babies Are Born Scientists" nsf.gov/news/news_summ.jsp?cntn_id=125575 Evolutionary Epistemology plato.stanford.edu/entries/epistemology-evolutionary Van Duijn, Marc, Fred Keijzer, and Daan Franken. "Principles of minimal cognition: Casting cognition as sensorimotor coordination." Adaptive Behavior 14, no. 2 (2006): 157-170. Cauchoix, Maxime, and Alexis S. Chaine. "How can we study the evolution of animal minds?." Frontiers in Psychology 7 (2016): 358. Lyon, Pamela. "The cognitive cell: bacterial behavior reconsidered." Frontiers in microbiology 6 (2015): 264. Trewavas, Anthony. "Intelligence, cognition, and language of green plants." Frontiers in psychology 7 (2016): 588. Calvo Garzón, Paco, and Fred Keijzer. "Plants: Adaptive behavior, root-brains, and minimal cognition." Adaptive behavior 19, no. 3 (2011): 155-171. Newsweek's article on The Science Wars newsweek.com/science-wars-171438 Calvo, Paco, Monica Gagliano, Gustavo M. Souza, and Anthony Trewavas. "Plants are intelligent, here’s how." Annals of botany 125, no. 1 (2020): 11-28. Greitemann, Jonas, Ke Liu, Ludovic DC Jaubert, Han Yan, Nic Shannon, and Lode Pollet. "Identification of emergent constraints and hidden order in frustrated magnets using tensorial kernel methods of machine learning." Physical Review B 100, no. 17 (2019): 174408.

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