Philosophy

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Wiser not wetter

While I’ve been training for the 1000-meter flatwater sprint all week, sadly, all of my workouts have been on land. The rental facility that I use stops issuing kayaks after 6pm this time of year. My work schedule keeps me from Cambridge into the mid-evening and therefore quite dry. I’ve been scheming ways to get onto the water in the early morning or later after I get back home, but until then, I’m bound to the gym. The weekends are another story, however. And to ready myself for tomorrow’s lesson, I returned to the river to practice on my own.

There was a bustle at Paddle Boston when I arrived around 11:30 am. A line emanated from the tent which guards the entrance to the dock where newcomers must sign waiver forms and hand over IDs. Another line wrapped around the small cabin that houses the cash register for paddlers who had just returned. No one looked too wet. And as a matter of course, a third line filled the docks which are already crowded by life jackets, paddles, and boats. Despite all of the people there, very few of them were workers. School is about to start and many of the staff are college students on summer vacation. With September just a few days away, most of the attendants have quit, leaving one exasperated woman to man the boats with only occasional help from her tiny dog.

Initially she told me to hop into a recreational kayak. I felt bad asking for a sea kayak instead; I didn’t want to be trouble. She let out something between a sigh and huff and disappeared for a moment. When she returned, I had a sky blue sea kayak. The fin on the bottom was exposed. She reached for the cord to retract it and mentioned to me, “This is how you pull in the.”

Skeg,” I interrupted to let her know that I was an insider, too.

“Yeah,” she replied. Her pace was a little slower and tone a little warmer than before. “Well, get in. I’ll push you in water from here since there’s such a line.” Trying not to sour my new friendship, I did as she said silently and swiftly. I signalled my readiness with a brief nod.

“Well, aren’t you going to adjust your foot pegs?” she asked. To be honest, I didn’t remember how far down the pegs were supposed to be. During my lesson the week before the instructor had adjusted them for me. My feet were on them. And that seemed right. So, I replied quickly, “They feel good.” What a mistake.

Once I was in the canal, the winds seemed to kick me side to side. The boat tottered beneath me in reponse. My abs clenched. For a moment, I forgot to breathe. And then I began what I could remember of the forward stroke. Toe-to-hip. Turn to the other side. Toe-to-hip. Turn and repeat. Somehow I was more unsure of myself than I was my first time out. The water was less familiar and I was more afraid of falling in. Still, I inched out of the canal.

Now in the open Charles, I suddenly realized that my right foot was up further than my left. And I remembered how I was supposed to sit in the kayak: somewhat frog-legged, with knees pushing on the braces on either side of the hull under the coaming. Damn. My foot pegs were too far down and uneven, and I could already feel my hips straining. I headed upstream under the Longfellow Bridge toward the only landing I could remember, up near the Harvard River Houses and Week’s footbridge, where I could stop to rearrange the pegs.

The entire time, my boat kept lurching to the right. I thought it might be the wind pushing me to one side. The week before, the entire class kept floating to toward the shore as a pack. I put my paddle down to check which direction the currents would take me. To the left! “Ah, so it is me,” I thought. My paddling was so lopsided, it overcame the wind. Every few strokes I paused to right my course. It was those mismatched and misplaced pegs. I picked my knees up higher against the boat. That seemed to help. I looked around at the other craft on the water. Everyone else appeared to be going straight. Then the wind picked up again.

It’s really amazing how low to the water you are in a kayak. Waves that you would never bother to notice from land suddenly command your attention by force. It was hard for me to gauge their size, a few inches, possibly a foot but probably less. But when you’re only three feet above the water, ripples become mountains. After being batted to the side by a small caravan of waves, an old Anglo-Saxon poem the Seafarer popped into my mind. When I discussed it in a waterless meeting room for a college course on Old English poetry years ago, my analysis was sharp. With all the comfort and courage that only cowards could have, I judged the author and his culture as small and afraid. They believed in monsters; I did not. But there, floating alone in my 13-foot boat, all that dross about the grim cold ocean and terrible tossing of the waves and unforgiving gale started to make sense—despite its being a tame New England summer day.

I turned around and headed home, still lurching to the right. This time with help from the wind.

Class is at 8:30 tomorrow morning.

Clean up at Fenway

Above: The Angels slew the Red Sox 11-0, but the score didn’t matter. Fenway is one of America’s great cathedrals. Being inside is always a religious experience for me. And a bad sermon can’t spoil the majesty of a truly sacred place. So, I say, “Take me out to that transcendent ball game. Let me be part of the crowd.”

The great rain divide at Fenway

Above: When the rains came late in the game, the crowd was parted in two: on the right there were those who were dry; on the left, those who loved so much.

This winter I’m taking a course on urban education. Our first topic: segregation and desegregation in schools.

Firstly, what do we mean by segregation? As a working definition, I’ll offer that segregation is the spatial pattern of people across some attribute. So we could talk about segregation by race, by income, or by favorite ice cream flavor. Once we pick something to measure against, we find that every city is segregated according to this definition. What matters is in what way the segregation manifests and the consequences on the populace the pattern has. Segregation patterns can be uniform, with all groups distributed more or less evenly within a region, or clustered. Likewise, we could also calculate the extent to which subpopulations are isolated from each other—which also gives a rough estimation of how often members of one group is likely to run into someone outside of their group. I think when we talk about ‘segregated’ groups, we typically mean highly clustered populations that are isolated from the other groups in the city.

I don’t think that clustered, isolated groups are necessarily bad on their own. I love visiting the North End and Chinatown. Because they’re both T-accessible, it’s easy for me to get there. (Though, both neighborhoods have had rough pasts.) And Harvard Square is the nicest place I’ve ever lived. Score one for segregation!

Moral judgments aside, self-selection can have a big influence on patterns of segregation, at least it can in models. The positive feedback loops reinforce small, individual choice to generate large-scale patterning. Schelling’s model of segregation is a classic, good first example of what I mean. In this model individuals exhibit only a slight preference to have neighbors that are similar to them. The individuals in this model are not racist. (Or maybe they are. I don’t have a good functional definition of racism yet.) When individuals find themselves in a neighborhood that is too unlike themselves, they move somewhere else at random, possibly to a neighborhood more dissimilar from themselves than the last. Even with this mild, partially blind behavior, a totally segregated structure emerges.

In more relaxed models that completely ignore race, even more realistic patterns of segregation form. In this class of model, individuals simply choose to live in the nicest area they can afford. As if by magic, isolated poor and rich neighborhoods form. Depending on the details of the model, wealthy suburbs appear spontaneously. If we use socioeconomic status as a proxy for race, it’s the same old story. Except this time, we have a systems-level mechanism that generates isolated, poor communities that lack the power to advocate for equitable resources and very rich communities with disproportionately high share of public goods insulated by a buffer of middle class individuals. Race was not the cause; money was.

When was ask whether it’s morally justified for a white family to send their kid to a predominantly white school, I think it’s important to know what about the school is so attractive. Do all parents value differentiated cultural and social understanding across many kinds of experience? Are they likely to value it more than a pretty campus or reputation of success by its graduates? Sure, in some cases the choice may be motivated largely by racism. But I’d expect that in many cases, it’s mostly a matter of ensuring access to the most and best resources possible for their child. It just so happens that low-resource groups aggregate, even in the absence of race.

I believe that diversity (of background, experience, perspective, and the like) is important in schools because, as has been mentioned a few times by others, students learn how to navigate social situations outside of school from the people they meet in school. But when we talk about diversity, do we really mean racial diversity? As an example, imagine that an elite, wealthy, mostly white college in the Northeast has recently been chastised for admitting a student body that is not sufficient diverse. Consequently, the school begins recruiting wealthy black students from Africa, some of whom attended the same boarding schools as students already enrolled in the college. In time, the student body comes to be half white, half black with an even mix in all classes and housing situations. In what sense, if any, has the college increased diversity on campus? Do you think the college has produced the diversity they were previously lacking?

While I think that racial segregation is a problem, I don’t think race is necessarily the capital-C cause. In a world without racism, economic segregation will still exist. But I’m willing to bet that in a world with no financial disparity, a lot of the troubles we associate with racism would evaporate. And so, I think race will play a secondary part in the solution to segregation. In fact, I think that race may even obscure the issue of access to equitable education for all. (I’m not sure if that’s what we’re really trying to achieve, but I think it’s a good start.) Instead, I believe that the struggle of the American education system is one of power and status. As such, I think we should talk about resource allocation (including strategies that move students to resources as well as bringing more resources to students), causes and effects of socioeconomic segregation, and cultural and pedagogical practices that systematically discourage/motivate students to learn the skills required to become an informed and capable citizens.

Walking into a library doesn’t make you literate. Owning a speedo doesn’t make you a swimming superstar. Nor does having a chemistry set make you a chemist. Sure, all of these statements make sense. It’s hard to argue otherwise. So why was I so shocked this morning when I realized that scribbling my appointments into a calendar doesn’t make me organized? That’s right, I woke up bright and early to play squash with a friend from college—I even had the decency to send a polite text message to her while heading over to the courts.

“Hemenway, I’m on my way.”

She responded with a real, voice-to-voice telephone call. Her voice was laughing, though. It looks like I’ll need to wake up, bright and early, again, tomorrow morning How can this be? My Google calendar was wrong. I was wrong.

Moral 1: Having a resource is only half the story. You need to know how to use it well, too. (The computer scientists have a phrase for this sort of situation, “Garbage in, garbage out.”)
Moral 2: I should get an assistant.

At least I got some quality practice in.

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Some Mottos

I’m loathe to write this post, because I know it’s going to be short and what I’m about to write—and my essential character, therefore—can easily be misinterpreted. Still, in the last two days people have accidentally uttered things that I think could be motto-worthy. However, one of my implicit mottos, one that I will not formally list, is, “You shouldn’t have too many mottos.” After all, it’s hard enough to carry around a handful of maxims throughout the day. Many more and I’d run out of the computational resources necessary to live by my own standards.

It is my hope that once I’ve got these things committed to (metaphorical, digital) paper, I’ll be able better to organize them, combine them, and generalize them. That’s right: it’s time for a spring cleaning of my wintered philosophies.

So here they are in chronological order:

  1. You can never have too much butter fat.
  2. Treat a person like dirt and he’ll stick to you like mud.
  3. I am smarter than my genes.
  4. I am more patient than a five year old.
  5. Be the person you want to attract.

On Friday DJ accidentally pointed out that I’ve ignored the deterministic components of nurture in the old war between nature and nurture. So maybe it’d be worthwhile to add

  • I can outgrow my environment.

And this morning my aunt Robin called to discuss her responses to Carol Dweck’s book on self and motivation theories that I mentioned a long time ago. I told her that I find her receptiveness to what Dweck has to say encouraging. Her response could warrant a more permanent place in my daily life:

  • It doesn’t matter what you think if it’s not working.

Do you have any words of wisdom that I should consider introducing to my list? You know I love comments.

It that’s time again: the start of a new year. And while my cat hasn’t seemed to respond to the fleeting opportunity to mend one’s ways that the beginning of a new year brings, I have. In order to honor that age-old tradition of turning over a new leaf and calendar all at once, I’ve decided to make some new year’s resolutions of my own.

I applaud those people who pause long enough mentally to arrange their lives, reflect, and respond accordingly. I think it’s important to remove ourselves from the hustle and bustle of our own lives, make the familiar unfamiliar, and critically examine where we are and where we’re going. But in my experience, people have got the technique all wrong. Few people know how to come up with a proper resolution. And without a good resolution, how could you ever hope of using it to signpost your journey through the coming year? So I am here to impart my deep if not self-important insight to you, free of charge.

I remember my mother calling me one early January to wish me a happy new year and to share her resolution for the new year. “Josh, this year my resolution is to be happier,” she told me over the phone. Likewise, my dad resolved to make more money. And this year, for about twelve seconds, I thought, wouldn’t it be nice if I managed my time more efficiently? Sure, these are all nice things to wish for, at least on the surface, but good resolutions they are not. (I hope my parents don’t mind my saying so here.) It’s hard to argue with anyone who wants the time and wealth it takes to be happy. (It takes wealth and time, doesn’t it?) So what makes these resolutions to bad? Well, two things.

A year is a long time, and it’s hard to keep track of long-term behavior when you experience it only in the moment. For this reason, avoid making resolutions that are fuzzy. Resolutions need to be stated in a way that gives you an easy way to know whether you achieved them. You need to build a measure into your goal, so you know whether you made it or not. In this way you have a mechanism to figure out how to adjust your actions if you’ve run off track. For example, instead of resolving to “be wealthier,” try to save 10% of your paycheck each week in account that you can’t touch until next year. It’s easy to check whether you’ve been saving over the course of a year. It’s a lot harder to evaluate your relative wealth from 365 days in the past.

Not only is it hard to know whether you’ve achieved a fuzzy goal, it’s hard to know how even to start. How in the world does someone go about “being happier” anyway? Resolutions should suggest a planned course of action. To kill two birds with one stone, I’m going to venture that a regular, regimented work-out routine would make me happier and force me to manage my time more efficiently. According to search trends on Google, it looks like a lot of people feel the same way. Look at how the number of searches on term “gym” spiked at the start of 2004, 2005, 2006, and 2007.

But we have to be careful to make sure that our resolution to go the gym has: (1) a well-defined goal, and (2) suggests a way to achieve that goal. So this year, I’ve resolved (2) to go to pool three days a week, so that I can (1) swim a mile without stopping. And, oh, to be more successful, too.

Happy new year, everyone.

Today I’ve decided to post a journal together with a longer paper about games. You hear all the time that we need to inject more play into education, that we need to return to childhood, etc. But why? You don’t as frequently hear why play is useful in education. People claim things like “If learning is fun, children will learn better.” I’m not sure of the connection. I suppose that if kids are engaged in learning, then they have a better chance of actually picking something new up than if they’re not trying to learn at all. That’s like saying if you look for something you have a better chance of finding it then if you don’t look at all. Sure, I buy that. But why play? By the same argument, we could just as easily pay kids to go to school and do their homework.

Of course some people do give reasons why play is useful. In these two papers, I’m building on some insights found in a 1933 paper by Lev Vygotsky entitled Play and its role in the Mental Development of the Child. (Vygotsky, you may well know, is one of my current heroes.) I remind the reader that in play, you can find all sorts of higher-order thinking skills taking place. Imaginary play is a very natural, distilled, abstractly difficult thing to do. Yet kids seem to do it on their own anyway, and before they even step foot in a classroom. If taught effectively, I think play is a useful vehicle for transfer of skills and tons of that ever-so-hot interdisciplinary work that goes on nowadays. (Wait until I get my genetic algorithmic music up and running.)

Journal 4 Journal 4: Methodological Doubt, Belief, and the Structure of Play

Paper 2 Reflection Paper 2: Decision-making as Game: A Mode of Prediction and Solution

Peter Elbow introduced concepts of methodological doubt and belief in his book Embracing Contraries: Explorations in Learning and Teaching. They’re central to his believing game and doubting game. Traditionally, doubt has been used as the primary tool in critical thinking. This unbalanced attention really makes a lot of analysis blind to new insights that can be gleaned from a moment of pure, suspended disbelief. (My ego won’t let me pass up an opportunity to say that both games show up automatically in my coffee mug model of classroom education.)

In my first paper I remark that all games require its participants to engage in the believing game—they have to believe that the rules imposed by the game are real and that the game itself is real. There are no consequences in any game if you don’t except them. You can always pick up the ball with your hands in soccer, unless you firmly believe that you can’t. For this reason, we might frame any situation as a game.

In the second paper, I extend my ideas to show that framing a situation as a game can greatly improve your power to predict behavior and arrive at winning strategies by simply considering the acceptable moves in your game. To illustrate my point, I work through a problem of the type sometimes given in consulting or computer science job interviews. The example shows, additionally, how mathematical reasoning (which I believe is no different than plain, old, vanilla reasoning) can be used to solve a problem without once using “math.”

As always, please comment freely. I’d love to get some feedback on this stuff.

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Freshman year of college my friend Rebecca tried to explain to me the literary school of deconstruction. After some time I tried to sum up what I had heard in a phrase that (be it my own or not, and whether it be accurate or not) I have kept with me six years later.

Words have meanings, but meanings don’t have words.

Now I’m still not sure what that means, but I do know it has to be true. My friend’s grandmother, sage that she is, disagrees entirely. Meanings are the words they mean—sometimes people misuse words—but that doesn’t detract from their instrinsic definitions. But if that were true, we wouldn’t have any need for dictionaries. If words were their meanings, then words couldn’t be defined in terms of other words. That’d be silly. The other words have their own (other) meanings, after all. Imagine what a dictionary entry might look like in this alternate semantic universe:

apple, n., apple. What don’t you understand? Apple means apple.

Of course, maybe I’m taking too naive an approach. DJ’s grandmother might be onto something. How can you sufficiently define terms like ‘this’, or ‘I’, or ‘you’? This is what it is. It’s nothing else. It’s this. I am who I am. Or am I? Words, like people, take on a meaning that emerges from their use. How words are used, though, follows from larger, guiding principles. Culture helps define who we are. So, too, culture—which is really no more than a vast set of complex and subtle rules—defines what are words mean. So, words do have meaning. But only in relationship to other things (that have meaning). It’s sort of like music.

In music syncopated rhythms accent the beats which normally go unaccented. But without some concept of normal, syncopation doesn’t exist. But it does because in our music there is a structured sense of normal. And if we let loose the structure, we loose some of the meaning. Syncopation just disappears. Ironically, the tighter a straight-jacket we put on rhythm the freer we can be within its constraints: we get things like syncopation back.

In mathematics, too, Kahler manifolds are surfaces that exhibit a rich geometry. It’s thought that the physics of our universe is actually encoded on one of a special class of these surfaces known as Calabi-Yau manifolds. The thing about Kalher manifolds, though, is that their geometry is so highly structured that the surfaces are almost flat. Flat surfaces are the simplest to investigate. It turns out that these guys, by comparison, are notoriously difficult to analyze. There may be something to that—that the most useful, interesting cases often lie just on the cusp between simple and intractable—but I’m not sure what it is.

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After the initial post on my robot/cartoon universe, a few of my friends and I have talked out the system. It turns out that my scheme is too restrictive in its expressiveness. Here I’ve set to free up the system.

No one has argued against the robot/cartoon dichotomy. But some have pointed out that pretends-to-be is too restrictive a connective. It only captures a very narrow (albeit common) relationship between self and self-image. Others have shown me that the connective is, perhaps, too idealistic. Pretends-to-be issues a lot of self-awareness to its referent. To balance out the relationships a little, I’ve decided to add the connective thinks it is to the mix. Thinks-it-is tries to convey whatever the opposite of self-awareness is—I’m loathe to call it self-absorption or self-deception.

Just as the split between robot and cartoon begins to blur when they are connected using a connective (like pretending-to-be), you can see that thinks-it-is is not at odds with pretending-to-be. They compliment each other through their (dual) connectives cartoon and robot. When both connectives appear in a single description, a new, complex meaning emerges from their interaction. However, the new addition complicates the taxonomy in more ways that I had first imagined. You see, pretends-to-be and thinks-it-is do not, as the mathematicians say, associate. And verbal language is not well-suited for these kinds of connectives. Let me show you what I mean.

I have a friend who is most certainly ((a cartoon who thinks it is a robot)-pretending to be a cartoon). Notice how that is not the same thing as (a cartoon who thinks it is-(a robot pretending to be a cartoon)). I’ve tried to demonstrate the difference by grouping with parentheses and hyphens (to show that the phrase wasn’t just a grammatical parenthetical). See what I mean?

Textual language handles the problem with hardly any more finesse. Parentheses and square brackets already have semi-well-defined meanings in English. The curly brace ({) is, and I’m sorry to say this, ugly in most contexts. Perhaps nested less than/greater than sign pairs would do better? My friend is a <<cartoon pretending to be a cartoon> who thinks he’s a cartoon>. Please offer up opinions and suggestions.

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That’s right. It’s time for another installment of “What has Josh been writing for class?” This week I responded mostly to an old article by Richard Paul—who, I think, bears a striking resemblance to Walker Texas Ranger: hold on to that.

He differentiates mainly between two types of styles of problem evaluation: weak-sense and strong-sense critical thinking. To paraphrase, perhaps unfairly, weak-sense is marred by an overly narrow subproblem formulation. It’s atomistic. First you take a big problem, chop it up into smaller problems, and then solve each of the bite-sized pieces one at a time. Paul rightly notes that oftentimes this method misses the larger problem that arrise from the interplay of the otherwise well-behaved subproblems. The mathematician in me has to note that the local-behavior-does-not-imply-global-behavior phenomenon has been a central theme in differential geometry from about its beginning. The same problem creeps up just about everywhere else you look for it. I’ve tried to talk about this before in vague terms relating to urban planning and chaos theory. Maybe I should try again sometime. But for now:

Journal 3 Journal 3: Weak-sense, Strong-sense, and Probabilities

I agree with Paul. Strong-sense thinking is more appropriate for lots modern problems. International conflict, curricular design, and global warming all require strong-sense critical thinking, for example. (Ordering dinner at a restaurant typically does not.) While I like Paul’s network approach to problem solving, I think the primary weakness of weak-sense thinking lies in its absolutist view of truth, not necessarily its divide-and-conquer methodology. Truth, when viewed as a certainty, is rigid and fragile. Today’s demanding social and business landscape calls for something more adaptive, fluid, and functional. (Yes, you were supposed to read that last line with an announcer’s voice.) So how do I amend his framework? With probabilities of course. Really dedicated readers will see that I’ve mostly recycled my blog entry about assumptions. But to keep things fresh, I had to add something. And you knew it would happen eventually. I couldn’t resist.

I center my discussion around a theorem from linear algebra. Gleason’s Theorem tells you exactly what the probabilistic measures on the closed subspaces of a Hilbert space are (basically they’re projection operators). And according to some, it’s central to future research in information retrieval. I use it to show the usefulness of multiple points-of-view with some scientific flare. Of course, my treatment is clumsy—but technically I’m only allowed one page per entry. How thorough could I have been? Maybe later I’ll clean this up and expand it a little. For now, it’s probably okay.

References

Paul, Richard. “Teaching critical thinking in the ‘strong’ sense: A focus on self-deception, world views, and a dialectical mode of analysis.” Informal Logic Newsletter, 1982.

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