Tuesday, May 31, 2022
The Power Worshippers and Education
Sunday, May 29, 2022
NY: Andrew Giuliani Would Make A Terrible Governor
Andrew Giuliani is running for governor of New York. In fact, he is reportedly doing pretty well, considering his less-than-stellar start.
Yes, he's the son of that other Giuliani, and yes, he has a whole bunch of bad ideas.
In response to the shooting in Buffalo, he says he wants the death penalty (which is not much help for the victims who have already been murdered). He's disgusted that New Yorkers "celebrated": the legalization of late term abortions (though he can't really tell you who was celebrating that or when or where) and he is disgusted, as a father, by the idea of abortions at 39 weeks (which is not actually a thing).When it comes to education, he also shines.
Giuliani promises the "highest tax cut and budget cut in the history of our state" and when asked what he'll cut to fund that, he targets education. Giuliani apparently believes the notion that public schools are just a scam run by the teachers' union. From an interview with Capitol Tonight
“I think immediately we have to go and we have to look at the teachers’ union. And we have to look that it’s over $31 billion and I understand a lot of that comes from property taxes as well,” he said.
When Capital Tonight pointed out that $31 billion is the entire education budget for the state of New York, Giuliani said that education and the teachers’ union are “one and the same."
“I’m a big believer in bringing the free market into education,” he said. “I don’t think the teachers’ union should decide, exclusively, what our child’s education should be.”
He promises to raise the charter cap from 460 to over 1,000, and he wants a "tax voucher program," which I guess is some sort combination of tax credit scholarships and vouchers and maybe education savings accounts too and I think we can safely say that he just wants to hand over money to folks "so that way parents can take those tax dollars and take them to a private school, a parochial school, a Yeshiva, or a home school."
This is where we are, I guess-- someone can be anti-public education while only having a general rough idea of what the heck he is talking about. Good luck, New Yorkers.
ICYMI: Another Awful Week Edition (5/29)
America is a society screaming out in rage and pain. In shock and despair. It’s heart has been ripped out. It has been dehumanized. You can see it in the way dogs are treated. Now imagine how people are.
How people treat each other. That is they key choice a society ever makes. Europeans and Canadians treat each other in ways Americans don’t. With dignity, respect, gentleness, warmth. Americans treat each other on a completely different spectrum. It goes from indifference to hostility to outright hate.
This is what happens when trust collapses in a society, as people become dehumanized.
Trial, Triumph, and the Art of the Possible: The Remarkable Story Behind Beethoven’s “Ode to Joy”
Saturday, May 28, 2022
Another Attempt To Let Software Write
John Warner, whose book Why They Can't Write should be required reading for all teachers of writing, just took a look at GPT-3, one of the new generation of algorithms that is being sold as an artificial intelligence capable of writing. GPT-3's capabilities are perhaps being oversold, and it has exhibited some of the usual problems with generating gibberish and "learning" to say terrible things, plus a tendency, like many such algorithms, to get stranded in a linguistic uncanny valley.
Warner was surprised by the discovery that GPT-3 does not know grammar, or any of the rules about how words can be put together meaningfully. I suspect many people would be surprised to learn this. But it's really really important when talking about computer algorithms for handling language to grasp that computers do not "understand" language in any regular sense of the world.The best metaphor I've seen for this kind of program is a weather forecasting model (I'm going to grossly oversimplify here--people who are knowledgeable about weather forecasting can take me to task in the comments). Think of weather forecasting as data crunching. When your infallible weather app tells you that there's a 50% chance of rain, what it means is that in all the times that the same weather conditions have been in place, half of them produced rain. To do this kind of predicting, you need two things-- a big bank of data of all the weather conditions from the past, and a good model for picking out which pieces of the data are important.
That's what language generating algorithms do. The algorithm crunches a whole lot of language "conditions" in the past--examples (sentences) scraped from a variety of sources-- and uses them to make predictions about what words could go together now. Or, as Warner aptly sums it up
As GPT-3 is “composing,” it is not referencing a vast knowledge of rules for grammatical expression. It’s simply asking, based on the word that it just used, what’s a good word to use next.Warner finishes his piece with a question:
I’m thinking it might be fun to ask GPT-3 to write on a prompt to compare and contrast how GPT-3 and Joan Didion employ grammar in their writing, based in Didion’s famous quote, “Grammar is a piano I play be ear, since I seem to have been out of school the year the rules were mentioned. All I know about grammar is its infinite power. To shift the structure of a sentence alters the meaning of that sentence as definitely and inflexibly as the position of a camera alters the meaning of the object photographed.”I wonder what it would say?
To start with, I swapped GPT-3 out for Jarvis and asked
Compare and contrast how Jarvis and Joan Didion employ grammar in their writing.
Here's what I got back:
Joan Didion and James Jarvis both use grammar in their writing, but they employ it differently. Joan Didion uses grammar to create short, declarative sentences that pack a lot of meaning into a small amount of space. On the other hand, James Jarvis uses grammar to create long, complex sentences that often meander and take a long time to end. Didion uses grammar as a piano she plays by ear ; Jarvis uses grammar as sheet music he meticulously follows.Both writers use grammar to create their own unique effects in their writing. Joan Didion's short, declarative sentences often have a staccato quality that creates a sense of unease or tension. This can be seen in her essay "Slouching Towards Bethlehem," where she actually wrote a book, not an essay. The effect is achieved by the choppy, staccato quality of her sentences:
In Eureka, California, in the late fifties, I worked for a while as a waitress in a coffee shop called Roy's. It was on Fourth Street then; it is now on Broad- way and is called Roy's Restaurant.
That yielded this:
Joan Didion employs grammar in a very straightforward way. She uses simple, declarative sentences and her syntax is usually very clear and easy to follow. In contrast, GPT-3 often employs more complex sentence structures and its grammar can be more difficult to parse. However, both writers use grammar to effectively communicate their ideas. Even though GPT-3 is computer software and not actually a writer. It is still able to generate writing that is clear and concise. This demonstrates the power of grammar in conveying meaning.
didion's Joan Didion employs grammar in a very straightforward way. She uses simple, declarative sentences and her syntax is usually very clear and easy to follow. In contrast, GPT-3 often employs more
Joan Didion says, "Grammar is a piano I play by ear, since I seem to have been out of school the year the rules were mentioned. All I know about grammar is its infinite power. To shift the structure of a sentence alters the meaning of that sentence as definitely and inflexibly as the position of a camera alters the meaning of the object photographed."
GPT-3, on the other hand, says: "The rules of grammar are there for a reason: to ensure that communication is clear and unambiguous. To break those rules is to invite confusion and misunderstanding."
So, we can see that Joan Didion has a more relaxed attitude towards grammar, whereas GPT-3 is less relaxed, probably because it is a machine. However, both recognise the importance of grammar in communication. Playing a piano by ear, however, is something that only humans can do; GPT-3 may be able to follow the rules of grammar perfectly, but it lacks the creativity that Joan Didion has. Playing trombone by ear, however, would be harder for GPT-3. Even if it could follow the rules of grammar perfectly, the nuances of music are something that machines struggle with.
So, in conclusion, we can see that while GPT-3 is very good at following the rules of grammar, Joan Didion is better at playing by ear and picking up on the nuances of
John Warner's approach to computerized writing is all about making the process as simple and streamlined as possible. He believes that the best way to do this is to focus on the content, rather than the form. This means that he pays attention to things like structure, organization, and clarity, rather than worrying about things like grammar and style.
His work focuses on certain critical aspects of the writing process, such as understanding your audience, developing a clear purpose, and organizing your thoughts. By taking these things into account, he believes that you can produce much better writing, regardless of the medium.
One of the main goals of Warner's approach is to help users write more effectively for their specific audiences. To do this he recommends that writers should do the following steps, as outlined in his book "The Elements of Effective Writing":
1. Know your audience
2. Develop a clear purpose
3. Organize your thoughts
4. Support your ideas with evidence
5. Use appropriate language
6. Edit and proofread your work
While all of these steps are important, Warner emphasizes the
Friday, May 27, 2022
The Future of Vouchers
Also, I don’t think the people on either side of this debate appreciate how frustrating it is for someone like me, who is on a fixed income, to have to pay to school the children of people who can afford to pay for it on their own. To have poorer people providing a discount to richer people is perverse. There’s just no other word for it.
Tuesday, May 24, 2022
Let's Blame The Targets
Damn it. Damn it to hell.
I include the link not because I think you aren't aware of the latest mass murder in a school, but because when I come back to this post some time in the future, the link will help me remember which mass murder I was raging about.
Like plenty of other folks, I have run out of things to say about school shootings in this country. Well, almost. There's one more thing to add.
Things I've said before:
We have a new standard for coverage of school shootings in this country-- it's only news if it sets a new record of some sort. Usually that means highest body count. That's grim news indeed-- if your goal is to become famous as a school shooter, and you're paying attention, then you have to know that you'll only get there with a super-high body count. This may qualify as the most perverse incentive ever.And it wasn't.
"No way to prevent this," says only Nation Where This Regularly Happens is the most bitter, repeated headline The Onion has ever published. We're just "helpless."
What Schools Still Need To Learn About Recruiting And Retaining Teachers
The stories have graduated from a steady drip drip drip to an ongoing drizzle. Across the country, states are confronting a huge number of unfilled teaching positions as the teacher exodus, well under way long before the spread of COVID and the conservative attacks on public education, continues unabated.
And yet many school districts, particularly medium-sized and small districts, have failed to adjust.