The Sidney Awards, Part 1
International New York Times | December 26, 2013
The highly prestigious Sidney Awards go out to some of the best magazine
essays of the year. This year, many of these essays probed the
intersection between science and the humanities. Links to all can be
found on the online edition of this column.
Josh Haner/The New York Times / David Brooks
Instead, science has given us a different value system: “The facts of
science, by exposing the absence of purpose in the laws governing the
universe, force us to take responsibility for the welfare of ourselves,
our species and our planet. For the same reason, they undercut any moral
or political system based on mystical forces.”
Wieseltier counters
that few believers take Scripture literally. They interpret. Meanwhile,
science simply can’t explain many of the most important things. Imagine
a scientific explanation of a beautiful painting, based, say, on a
chemical analysis of the paint. “Such an analysis will explain
everything except what most needs explaining: the quality of beauty that
is the reason for our contemplation of the painting.” The scientists
deny the differences between the realms of human existence and simplify
reality by imposing their methods even where they can’t apply.
Caitrin Nicol had an absorbing essay in The New Atlantis
called “Do Elephants Have Souls?” Nicol quotes testimony from those who
study elephant behavior. Here’s one elephant greeting a 51-year-old
newcomer to her sanctuary:
“Everyone watched in joy and amazement as Tarra and Shirley intertwined
trunks and made ‘purring’ noises at each other. Shirley very
deliberately showed Tarra each injury she had sustained at the circus,
and Tarra then gently moved her trunk over each injured part.”
Nicol not only asks whether this behavior suggests that elephants do
have souls, she also illuminates what a soul is. The word is hard to
define for many these days, but, Nicol notes, “when we talk about it, we
all mean more or less the same thing: what it means for someone to bare
it, for music to have it, for eyes to be the window to it, for it to be
uplifted or depraved.”
Larissa MacFarquhar had a brilliant profile
in The New Yorker of Aaron Swartz, the 26-year-old computer programmer
and Internet activist who hanged himself early this year.
Swartz lived much of his life outside the normal structures. He was too
brilliant for his high school, so his parents let him drop out and take
college courses or study on his own. He thought the students at Stanford
were shallow, so he didn’t go back after his freshman year.
He began writing big books or starting great projects, but he usually
didn’t finish them. He had dreams of saving the world, but fuzzier
notions of the specific avenues by which he might do it.
On the one hand, he seems to have been the victim of the formless
freedom of the Internet life. On the other, he did have intellectual
daring and a fierce independence. MacFarquhar tells the story as befits
the subject, with email and text-message-type comments from Swartz and
his friends propelling the piece along. “Even among my closest friends, I
still feel like something of an imposition,” Swartz wrote, “and ... the
slightest hint that I’m correct sends me scurrying back into my hole.”
Don Peck looked at how companies assess potential hires in an essay in The Atlantic called “They’re Watching You at Work.”
Peck demonstrates something that most of us already sense: that job
interviews are a lousy way to evaluate potential hires. Interviewers at
big banks, law firms and consultancies tend to prefer people with the
same leisure interests — golf, squash, whatever. In one study at Xerox,
previous work experience had no bearing on future productivity.
Now researchers are using data to try again to make a science out of
hiring. They watch how potential hires play computer games to see who is
good at task-switching, who possesses the magical combination: a strict
work ethic but a loose capacity for “mind wandering.” Peck concludes
that this greater reliance on cognitive patterns and game playing may
have an egalitarian effect. It won’t matter if you went to Harvard or
Yale. The new analytics sometimes lead to employees who didn’t even go
to college. The question is do these analytics reliably predict
behavior? Is the study of human behavior essentially like the study of
nonhuman natural behavior — or is there a ghost in the machine?
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