The Open Syllabus Project “collects and analyzes millions of syllabi” including 73,114 for Philosophy courses. One search function shows assigned texts by author. The inevitable vanity search returns seven things written or co-written by me. The most prevalent is forall x, but Scientific Enquiry and Natural Kinds even showed up on one syllabus.
Category: link dump
Blogs come and go
There’s also the general cultural shift from blogs to social media.
Jenny Saul
The pull quote is from the announcement that the Feminist Philosophers blog is shutting down. It had a good run, but it’s sad to see it go.
Imagine some kind of segue here.
My colleague Monika Piotrowska wrote a recent post for the Blog of the APA about the possibility of de-extinction. Last week I complimented her on the post, and she expressed surprise that I’d seen it. I still do the old-school thing of using an RSS reader to follow blogs that I care about.
Saul is right, though. Lots of things that would have been on a blog a decade ago are now Tweeted or Facebooked. This post could drift off into maudlin reflection, dismay at the state of culture, or references to Marshall McLuhan. But I’m not going to do it. 🙄
If you’re looking for an RSS reader, I highly recommend The Old Reader. It was founded after Google torpedoed GoogleReader, and the founders were programmers who just wanted something that had the same basic functionality. They subsidize it with a Premium option, but the free account will aggregate up to 100 blogs. I’m using only about two-thirds of that.
Pedagogy and the early modern syllabus
Ruth Boeker’s syllabus for teaching early modern philosophy is featured today at the Blog of the APA.
Ruth was a visiting assistant professor here in Albany several years ago, and her current practice reflects things she did here. Our campus teaching center has been a big promoter of Team-Based Learning for many years. She first encoutnered it here and recommends, as further reading on TBL for anyone interested, a pair of articles written by our local experts. (One of whom is Philosophy PhD alum Kimberly Van Orman.)
So, yay! Cheers to all.
Beatles, dads, dogs
It’s been exactly ten years since this cartoon appeared, one of the last Ninja Verses strips from its second incarnation.
Fallacies: Narcissan, pleonastic, and unnatural deceleration
Since February 1999, I’ve had a web page about fallacies. Rather than regurgitating all of the usual ones that one can find elaborated in critical thinking textbooks, I collect fallacies which an author names for just one occasion. These one-offs don’t appear on the usual lists. Authors usually do this to condemn some specific target, one who has committed not some generic error in reasoning but the specific if newly-named fallacy of such-and-so.
Prompted by John Holbo at Crooked Timber, I’ve added three new specimens. One is coined tongue-in-cheek by Holbo himself to mock a book review by David Bentley Hart, and the other two are coined by Hart in his would-be hatchet job on Daniel Dennett’s book From Bacteria to Bach and Back.
Continue reading “Fallacies: Narcissan, pleonastic, and unnatural deceleration”
Shagg Carpet would be a good name for a Shaggs cover band
via The New Yorker, I learn that the outsider rock band The Shaggs recently had a reunion just down the road from me. Writer Howard Fishman asks
Was it fair to even call this band the Shaggs? Or was it, rather, a Shaggs cover band providing a live karaoke soundtrack for the Wiggins to sing along with?
As someone who once judged a contest in which contestants tackled the question of whether a band can be its own cover band, I can’t let this pass as just a rhetorical question.
Continue reading “Shagg Carpet would be a good name for a Shaggs cover band”
Two links about AI
There are some articles that I read and think I ought to blog about that. Then I realize that I basically have. So this is basically a link dump kind of post.
Link #1: Geoffrey Hinton cautions that deep learning is not especially deep
I’ve written some posts about the glitzy fad for “deep learning”. It has the same strengths and weaknesses it had when it traveled under the less-shiny banner of “back-propagation neural networks”.
Link #2: Efforts to understand the bias inherent in algorithms
Procedures that are superficially objective can encode bias. I don’t have anything deep to say here, but I’ve blogged about it before.