Good Climate News! Advocates celebrated Monday after a Boulder, Colorado judge rejected attempts by ExxonMobil and Suncor Energy subsidiaries to dismiss a landmark lawsuit that seeks damages for the harms the fossil fuel companies have inflicted on the climate and local communities.
We're pleased to offer a teaching guide for Youth v Gov, the documentary about the Juliana v. United States lawsuit, in which 21 young people are similarly suing the US Federal government over climate change. These resources are great classroom tools for putting climate litigation news into context.
Thank YOU for letting me know you joined the Knowledge Commons instance as a result of my above report on it. They -- @hello -- might also be glad to know this.
Speaking of your mission of films for social activism, through our family friend in Tokyo, I happened to encounter such a group based in NYC led by a Chinese-American woman, with collaborators in Canada and here in Japan. I reviewed their most recent documentary -- available free at https://hi-lo.tv/Our-Work -- on professional photography of Japan's hostess bars, as explained at https://hcommons.social/@SteveMcCarty/112621109879323004
Being a career academic, it was my first foray into a film review or that kind of content, but it all goes toward my challenge as a Japanologist of explaining this inscrutable culture (for once a stereotype is an understatement!). If you happen to contact Hi Lo TV, please give them my regards.
@jeffgreene@edutooters@psychology@academicchatter Also, the low-key low-stakes retrieval practice with the stuff of making connections and reflecting are good prep for high stakes tests and I don't think they're going away any time soon.
Yes! Here's a new article in our Topical Collection on Theory Development in Educational Psychology: Drs. DeCuir-Gunby & Schutz describe their metatheoretical approach to race-focused and race re-imaged research & its influence on the field. https://doi.org/10.1007/s10648-024-09873-2
This article builds on what I consider to be one of the most important articles in Educational Psychology in the last 10 years: DeCuir-Gunby & Schutz (2014). Finally, this new article was expertly guest edited by @krisarob.bsky.social! Kudos to everyone involved! https://www.tandfonline.com/doi/full/10.1080/00461520.2014.957828
"OpenAI will settle with the New York Times out of court, and we won’t get a ruling. This settlement will have important consequences: it will set a de-facto price on training data. And that price will no doubt be high.
[...]
By settling, OpenAI will eliminate much of their competition.
[...]
OpenAI keeps its hands clean, and its legal budget unspent. They can win by losing—and if so, do they have any real incentive to win?"
As part of my dissertation project, I'm aiming to collect a large research sample to help construct a validated measure on Teacher Attitudes towards Multilingualism.
If you are a teacher (primary, secondary, tertiary education), and you teach multilingual students, could I please ask for 10 minutes of your time?
I would also say it's a nuance consideration because given how LLM's work, saying it's plagiarism is not actually a 1:1 comparison to individual plagiarism and moves us more in the metaphorical space.
Plagiarism is being used in a metaphorical sense--the same way "piracy" is used metaphorically when talk about when people make digital copies of music, videos, or books.
In both cases, we take something new, given it an old name, and therefore confine the discourse to something we're familiar with.
For me, I don't buy it (pun intended?) in both instances. That doesn't mean I don't have issues with AI companies for a variety of things related to AI but plagiarism is not on that list.
I am a big fan of the #MysteryAIHypeTheater3000 , everyone should give it a listen, it is always interesting.
I do wish we would stop using the phrase (word?) "AI" as it strongly implies that it actually is that when it is clearly not.
I also do have to keep reminding myself that there are many applications where running huge numbers of mathematical correlations and other models make perfect sense and are very useful (for example investigating proteins or deciphering ancient documents). I almost feel that all the AI hype is actually hurting those kinds of applications by distracting engineers into thinking that having computers write travelogues in the place of people who have actually been to the place is much more profitable.
Agreed - there are plenty of useful and helpful applications of "AI" (more often actually machine learning or even just adjusted regression techniques). The term "AI" is become a "catch-all" that means everything and nothing.