Life endings? Or: Ends of life?

Last week, at Lisa Le Fevre’s proposal hearing, we discussed what there might to study in a small Bulgarian village, population about 160, where almost everyone is about 70, where no one is moving in, and where, for obvious actuarial reasons, one can expect that, within 30 years, the human population will be zero.  Social reproduction is failing (though biological reproduction is OK given that most of the people have children and grandchildren, but none who want to or can live as their parents lived).  What is an anthropologist to do there?

This kind of demographic situation has happened all over Europe (and North America) over the past century as certain types of agriculture have proven unsustainable and as alternative economic activities have not taken over.  But while many anthropologists have lived in such villages, there is suprisingly little about what can happen when aging human beings face a situation where, as far as they can know, they are the last ones to occupy some space.  So, there is an opening for research there, but the questions remain: How should this research be framed?  What questions should be asked?

Inevitably, we, anthropologists, have to struggle with the vocabularies used by governmental agencies, by some of the literature in gerontology, and by anthropologists who often come to such a topic with similar political motivations.  The stance appears unimpeachable: the poor/weak/young/old/handicapped are disabled and “we,” that is, “the state” (the European Community in Bulgaria) should enact some program to help those who will be identified as needing help.  And anthropologists, at their best, “come to help”—as many fondly remember Margaret Mead’s manner throughout her carrier as an engaged anthropologist (McDermott 2000) .

But what should we do if we are to help?  Or, more precisely, given that what we mostly do is write, how should we write our texts so that they direct future action by people in various kinds of organization in more grounded and respectful fashion?  As anthropologists, we know that a significant critical literature has developed in reaction to mission-based action that focuses on the suffering people themselves.  Anthropologists wrote against “culture of poverty approaches.”  They now write in reaction to the spread of organizations, both “governmental” and “non-governmental,” and the programs they keep testing, implementing, enforcing, abandoning in this or that village, with this or that sub-category of the population.  In the process of this critique, we anthropologists have learned to distrust administrative vocabularies and metaphors common in policy fields, particularly when these are extended and transformed into what is called, in literary theory, a “conceit.”  When facing aging these vocabularies and metaphors are always about decay, failure to prevent decay, and impeding doom.  There are discussions of successful vs. failed aging, policies that can help successful aging, etc.  They are rarely about life.

In brief, we must be wary of conceits that start with lives ending in loneliness and grief, and then that develop into programs to be enacted by specialists trained to deal with the newly identified disabilities “with which” the people are now saddled.

What other metaphors should we offer? How should we guide those in policy who will develop these metaphors into extended conceits in law, regulations, mission statements, training programs, etc.?

Let’s start with the obvious.  All life forms start dying as they are conceived but this is not the end of life.

Putting it this way is, obviously, linguistic play.  To talk about the “end” of life is also to talk about the “purpose” of life, at least in philosophical and religious discourse.  But there is also a sociobiological discourse where the end of life has something to do with genetic reproduction.  One might interpret certain types of sociology as making of social reproduction the end of life.

The problem for humanists, and also cultural anthropologists as well as my favorite sociologists, is that social and biological reproduction does not end life, at least not for human beings, and particularly not in the past centuries as life expectancy is much longer than needed for reproduction.  As people see their children and often grandchildren settle into adult lives, they still have to construct a life—though obviously in different conditions than they did when they were born, or when their children were born, etc.  Cultural production never ceases perhaps because it is not a task to complete and even perhaps because it is not an “end” of life (that it is not a functional requirement of life) but rather an aspect of what Jakobson once labeled the “poetic” function of life.

So I encourage Lisa Le Fevre to approach the village in Bulgaria as a place that is fully alive, though a lot of people are sick, some die, some worry about burying those who died, some worry about abandoned houses, others try to figure out what to do with the programs that appear and disappear in the name of “helping” them.  The ends of each of this life arise out of the ongoing and never quite routine conditions that do require a live response even if, as one of what used to be five ladies I know in a hamlet in Southern France, she finds herself, one day, half paralyzed with a stroke that leaves her on her kitchen floors for many hours, waiting for her niece to come, discover her, and for the wonderful French health care system to place her in a long-term facility where, for the past 10 months, she has had to make a new life for herself.

There never will be a really “good day” for her, and the four remaining ladies, each in their separate houses (this village is well within the Mediterranean culture area) wondering about their extended kin spread out over the globe.  And yet all will keep trying to make it a “good day” like the children who appear in McDermott’s work (Hood, McDermott and Cole 1980), or the elderly Jews in Myerhoff’s wonderful Number our days (1978).

Where do (psycho/socio)- metricians fit?

Recently, March 28 2012, I spent the afternoon at the plenary session of an “International Conference” on “Educational Assessment, Accountability, and Equity: Conversations on Validity around the World.”  The plenary speaker was Michael T. Kane, “The Samuel J. Messick Chair in Test Validity” at the Educational Testing Service.  He talked about validity as measurement scientists deliberate about it, and about some of their soul-searching when they consider the impact of their measurements.  Or, as I would put it, wearing my “anthropologist of Nacirema” hat, he talked about the misgivings of an obscure priesthood specializing in an abstruse numerology few understand outside their rarified convents.  Kane, as a master in this polity of conjurers of numbers, gave us, the uninitiated or very peripheral, a glimpse of his doubts and those of other masters as they discover that they are now at the very center of political storms where their more abstruse spells are thrown at opponents for all sorts of reasons having little to do with numerology.
NYC value added model for teachers

To the extent that I understand it (and I am very far at the periphery of numerology, or rather, I am at the periphery of the gravity well that might have made me, at some point in my career, a legitimate peripheral participant), it all has to do with the “interpretation” of the test that leads to its being used in a particular case.  But Kane and his peers are not quite where Geertz and his peers have been.  For one, Kane is deeply concerned with specifying and justifying the interpretive steps.  For another, he and is peers have, precisely been thrust into the center, while symbolic anthropologists are pushed even further away from it.

This occasion was the second in recent weeks when I heard thoughtful (psycho-)metricians wonder about the public face of their craft.  I had not suspected how much debate do happen among the scientists of the measurement of individual behavior about what happens with the measurements when these measurements are used outside the world of measurement.  Kane taught me something about the relationship between the “datum” (an answer on a test question) and the inferred “claim” (that Johnny failed the test) and the “warrant” that allows on to make the claim based on the datum.  The warrants themselves are “backed” by empirical studies.  Thus, everything depends on the quality of the studies which back the warrant that allows for the inference.  Things are even more difficult since the various inferences that can be made about the individual as this_test taker can be transformed into inferences about this_field (that is, that Johnny who failed this reading test do not know how to read), and then transformed into even more general properties of the individual as performed in any_field (that Johnny is “with” this or that syndrome), and then transformed into properties of a population (White vs. Black, poor vs. prosperous, American vs. Chinese).

As I listened, I was particularly struck by his discussion of “warrants” in the making of inferences and the place of various logical and mathematical ways of explaining how one gets to the inference.  Listening to this, I understood better why ethnography is looked askance by measurement scientists: we, anthropologists, could be said to be “warrant-challenged” when we watch a cock-fight and then make inferences about humanity…

And then things became truly interesting.  Kane started to talk about a particular type of inference that shift from identification (Johnny is with X or Y) to the meting of high stake consequences (that Johnny should be shifted to a special education classroom, that he should not receive a degree, that he should not be hired or promoted).  He illustrated the difficulties by reminding us of the Supreme Court ruling in the case of Griggs v. Duke Power where the issue was the use of a test (or more precisely inferences about the people who had taken the test) for employment, that is as a step in the making of a high stake decision that could have heavy negative consequences.  In effect, the Court extended the notion of validity to include the impact of the test on the life of the taker.

I am about sure that no inference from anthropology has ever been debated in the Supreme Court of the United States.

Thus, the Court also, and by implication of course, definitely placed (in the Garfinkel sense) testing as the proper instrument of high stake decision making and the testing scientists as perhaps the most powerful engineers of social structural production (along with the professional in charge of diagnosing decease and its legitimate political implications).  That is, by requiring that tests be “reasonably related” to the job for which the test is required, the Court fully legitimated a process of assembling people and practices that had fully flowered with Thorndike and other measurement specialists when they convinced school people that psychological testing might produce what Dewey and others had appeared to call for: a democratic educational system where the real properties of the child were the sole criteria for the advancement of the child through the rewards of that part of social life (for examples being hired for a job) that the state, through its courts, can regulate.

Thus, the Supreme Court, and by implication of course, placed ETS at the core of the political process and thus made a particular class of scientists the arbiter of this process—all the more so that only they fully understand the means they use (regression formulas and the like) to produce something that later allow human resources personnel, or college admissions officers, make decisions without appearing to have made them.  When I talked about terminating Skynets in my last entry, I did not yet know that I was echoing was some measurement scientists have actually said:

Quantification is a way of making decisions without seeming to decide (Porter 1995: 8).

 

Porter, T.
1995 Trust in numbers: the pursuit of objectivity in science and public life. Princeton, NJ, Princeton University press.

What’s a teacher to do?

New York City found out on February 28 that an elementary school teacher I know well rates a “34 (7-73) 32 (5-84)” in Reading and a “63 (41-82) 77 (42-91)” in Math.

A few months ago, teachers had received from their school summary documents that looked like this:
Math result for a NYC teacher
What is an individual teacher to do about any of this?  What, on a day to day basis should a teacher do to “improve” on a 34 and maintain a 77?

These numbers are somewhat related to the wonderful awful formula:

NYC value added model for teachers

What are the values of these variables for any particular teacher? Which of these variables are under an individual’s control?  On what day of the year?

I venture that neither common sense, habituation into any cultural world, guesswork, or any other process proceeding from the individual teacher as teacher or person, is likely to help in answering these questions.  I suspect that a whole new class of professional consultants is now being inducted into fuller and fuller participation in new polities in all sorts of institutions.  They will be sold as the interpreters of the ratings.  They will also be people with children and mortgages who will have ever more interest in keeping the formula opaque.  They will be joined by the psycho/socio-metricians tinkering with the formula to “improve” it so that they can report to the New York Post that “the complaints of the teachers have been addressed,” various software engineers, etc.  And the web keeping everybody in place will get tighter and more difficult to escape.

The question we need to raise is, of course, whether teachers should have to ask questions about manipulating variables on a formula.  The formula may be wonderful as a research tool, but it is awful as a method for hiding political decisions and making it appear that these decisions are removed from precisely political activity at all levels of schooling.  As a political tool it may be intended to take the place of a terminating Skynet where evaluation, like the response to some foreign threat.  Evaluation, it appears, is taken out of the political realm of principals meeting teachers in a school, and into the realm of automatized mechanisms noone quite understand but are un-impeachable, as well as altogether unaccountable.  That people will be hurt people is their problem will the newly powerful say: “good” teachers (the top 50%? 75%? 25%?) “have nothing to fear” and “bad” teachers should fear dismissal (unless the whole exercise is pointless).

Whether any of this will do anything to improve education in any of its senses in the question may be a question one asks at one’s peril.

On Political Deep Play – a coda on experimentation

My entry from March 2 played, very seriously, with the kind of deep play policy makers in the world of schooling engaged in when they released invalid scores purported to tell how well individual teachers taught.  On March 9th, James B. Stewart of the New York Times, asked “Would Americans be better off if General Motors and Chrysler had simply gone bankrupt, without benefit of taxpayer assistance?” and he raised the question of the kind of evidence one could use to answer such a question.  What picked my curiosity is the following comments:

Unlike a science experiment, in which variables can be changed and the experiment repeated, we can’t turn back the clock, let the auto companies go bankrupt and compare the results with what we have today, which is an American auto industry that is, by nearly all measures, healthier than it’s been in many years. G.M. and Chrysler, not to mention Ford, which didn’t get taxpayer money but benefited indirectly, are profitable, hiring more workers, competing more effectively, gaining market share and building better cars and trucks.

He then proceeded to make comparisons with other companies that were, or not, helped by the government when they face bankruptcy.  Essentially, he was using history rather than “evidence-based” empirical research to argue in favor of a political decision.

Now, of course, history, like anthropology, is precisely not an experimental science and yet it may more useful to “politic” makers, that is politicians, as actors, rather than “policy” makers as advisors to the actor.  The very small group (Obama, Geithner, ??) who decided to bail out General Motors could not rely on “evidence.”  They had to rely, in the best sense of all these words, their ideology, their common sense, and the conversations they must have had.

In other words, they placed a major bet.  It looks like they won.  But this was about the deepest of deep plays.  The only deeper I can imagine is Roosevelt or Wilson getting America into World Wars.

Back in New York, it is probably the case that Bloomberg made a similar bet when he had the test scores released.  He could not wait for the “evidence” that this release would lead to better teaching.  By the time this evidence was in, then the political problem would probably have been moot.  We can disagree with his decisions.  We can note the irony that people who have prided themselves on being “data-driven” made a major decision in the absence of data.  But we see the decision for what it is, a political decision, not a policy decision.  And as one approaches political decisions, history, and anthropology, may be more useful than “experimental” social sciences.

How can we convince policy/politic makers that evidence-based research is not the way to a better democracy?

MOOC: Education, degrees, careers?

Stanford offered a class, on Machine Learning . 104,000 students registered. 13,000 completed the course. Most of them must have learned something but none got a State recognized certificate or a degree. So, at this point, they completed “for nothing”–that is just for the education of it. Some of them may also perform their professional tasks better. I suspect those will not accept for very long to be passed for promotion by people who have a degree.

I ended a recent paper for the Gordon Commission on the Future of Assessment with comments about the possible disassociation of schooling from assessment.  My argument was that the association between the two has been 1) good for schooling in that it has massively increased its reach and claim on resources, and also 2) terrible as it makes it less and less relevant to education.  The recent, and ongoing, controversy about publicizing teachers’ scores on invalid measures is a case in point: teacher-ing, with ever more symbolic violence (a.k.a “accountability”), is made into a skill for putting measurable bits into students’ head.  That teacher-ing might be about participating in shaping a mind is left aside as not a concern for the State.  But why, may we ask, should the State be concerned with education?  Well, of course, because

the tests
…..that lead to the degrees
……….that accredited  schools grant
……………that employers use to open or close doors to careers

are essential for the representation that a political system is indeed “democratic” and that state rewards are indeed distributed on merit rather than birth privilege (in its racial, ethnic, class, gender, etc. forms).

In many ways, as the people of the School have been saying, focusing on tests leading to degrees is a radical narrowing of what was the mission of schooling.  Arguable, the battle has been lost as much (most?) of what was included in this mission has now been distributed out to the family, the media, religious institutions, etc.  But schooling, as an institution, appeared to remain central because it has kept its monopoly on the granting of degrees.

What if this changed?  What if a successful challenge was mounted to legitimize other doors to adult careers than those controlled by the current schools, colleges and universities (and their teachers or faculty)?

In the past week, the New York Times published evidence that this challenge has started.  One is an opinion piece by Charles Murray asking an “energetic public interest law firm” to challenge “the constitutionality of the [bachelor’s degree] as a job requirement” (March 8, 2012).  The Supreme Court, I did not know, has made it unconstitutional to make test scores the key to employment unless there is a tight link between the test and the job.  Demonstrating the link between almost any college degree and almost any job might be difficult.

The other report may be a more immediate and less ideological challenge, and possibly much more difficult for school people to block (particularly since some of them are profiting from this challenge).  I am talking here about “Massive Open Online Courses” (MOOCs).  Stanford offered a classes for 160,000 students in 190 countries!  Another class, on Machine Learning, was given for 104,000 students with 13,000 completing the course.

The figures are astounding.  They are about something that is happening now and will have social and political consequences.  Of the 13,000 who complete the course on Machine Learning, most of them must have learned something but none got a State recognized certificate or a degree.  So, at this point, they completed the course “for nothing”–that is just for the education of it.  Some of them may also perform their professional tasks better.  I suspect those will not accept for very long to be passed for promotion by people who have a degree.

If the State finds ways to accredit (“give credit for”) the taking of MOOC (perhaps by asking a company like ETS to give an independent and controlled test), the implications for universities and their faculty are staggering.  The New York Times quote one of the Stanford professors who taught one of the MOOC as saying that he does not want to go back to teaching just twenty students in a small classroom.  When Stanford has found a way to charge people for the course, and reward the faculty member in commensurate fashion, the whole economic basis of colleges is transformed.

We may be seeing the end of schooling as we have known it (and for people of my generation profited from it).  It is going to be quite a ride.

Value Added Deep Play

The publishing of individual teachers scores by New York City is a research boon as it allows us to test various analytic methods that will allow for understanding more systematically the networks of authority and power in which we are all caught, and particularly the relationship of motivation to act to social consequences. In this effort we might do worse than facing the extent to which social life is, also, (deep) play, and then making suggestions to policy makers about what is most probably a fundamental feature of humanity

Geertz’s “Deep play: Notes on the Balinese cockfight” (1972) is justly famous and yet its central argument, that the Balinese, sometimes, play “deeply’ in such a way as possibly to endanger their status, has had surprisingly little impact.  Maybe it is because it is set in a mysterious island far, far away.  Maybe it is because “we” do not bet on cockfights.  Maybe it is because, though quite a few of “us” play more or less deeply in Las Vegas and other such venues, “our” institutions, dominant ideologies, etc., do not play much and frown on any play dangerous enough to risk our health or well-being.  Quite the reverse indeed as “we” pride ourselves on ever more detailed protective regulation of what must be done while “at play” (in play grounds, riding cycles, etc.).  But, of course, we, personally and as implicated by more or less enlightened leaders do “deep play”–though not necessarily in ways so labeled.

Sherry Ortner is one of the few who worked at expanding what Geertz must have meant.  She presented a study (1999) of Sherpas helping people climb the Everest and other Himalayan mountains as a study of, precisely, deep play given the well-known dangers involved in such endeavors.  But Sherpas, and the rich people who hire them to make it possible for them to reach the summit, may still be dismissed as exotic people living at the edge of our safety nets and of only passing interest.  And yet we, social scientists, should pay attention.

A few years ago, I got interested in deep play as something potentially central to culture theory in anthropology.  I was working with Mary Cotter analyzing a moment in a woman’s hospital labor when she tells as a joke about an earlier labor when she, a physician herself, had lied to an anesthesiologist about pain she was not feeling to get more pain killers, thereby endangering her and her child (Cotter 1996; Varenne and Cotter 2007).  Everyone present, anesthesiologist, husband, nurse, researcher, laughed.  The joke was certainly “play” in the usual sense.  Was her earlier lie also a gamble, deep play?

In a forthcoming paper in the Educational Researcher, Jill Koyama and I propose we answer this question positively and expand the relevance of “(deep) play” to include all acts, by an individual or a polity through its leaders, that threaten their status or the status of some of the people the act involves.  In our perspective, it does not matter what the motivation of the actor (gambler) may be, or the type of rewards the act might produce, or its initial cost.  What would matter is the level of uncertainty about the act producing what it is supposed to produce and the severity of the effects, should the act not produce what was hoped for.  It has made sense to think about the activity of traders of Wall Street as, also, gambling.  What about the activity of politicians and other regulators when act to, in what would be their term most probably, “generate reform of our educational system in fundamental ways” (from the introductory paragraph of the report A Nation at Risk, National Commission on Excellence in Education 1983)?

In this perspective, the decision by the New York City Department of Education to publish the names of individual teachers and their score, is a prime example of very deep play by policy makers and the politicians who accepted their recommendations.  Who made the decision is actually unclear, but it was forcefully defended by Mayor Bloomberg.  There is no evidence, “data based” or otherwise, that such a publication will achieve what reformers wish to achieve.  There is much debate about the validity of the figures.  But, somewhere, a decision in uncertainty was taken.  It involved ten of thousands who, willy nilly, are caught in its consequences and for whom the act might transform status in what Garfinkel once referred to, chillingly, as “successful degradation ceremonies” (1956).

And now, unsurprisingly, a slow motion drama is unfolding.  This drama, like the Balinese cockfight, is taking place in the public square, and so will many of the status changes that will result as the main bet, as well as many of the side bets that are also being made, is followed by its consequences.  Political careers will be made and lost.  Administrators will be fired while others will move up.  Unions might be reinvigorated, or not.  One can hope that the shame as much as half of the teachers of New York City are experiencing this month as they are publicly labeled “below average” will be short lived (though one can imagine the psychological scars some will bear as journalists and parents berate them).

It may seem insensitive for social scientists to watch the unfolding of the drama as evidence for refining our understanding of social processes.  And yet it is our duty to do such.  Publishing individual scores, whatever good might come of it, is, also a full scale experiment which would probably never have been allowed to proceed if it had been proposed as “research.”  University review boards are very vigilant about the extent to which individuals might be harmed by research, even unwittingly or in indirect ways.  But, of course, policy acts are not systematically reviewed for the harm they might cause.  Perhaps they could not be or political decisions could not be taken in a timely fashion.  But the issue remains and as social scientists who advise policy makers, we must pay attention and play our analytic role.  The publishing of the scores is a research boon as it allows us to test various analytic methods (as Koyama and I are doing) that will allow for understanding more systematically the networks of authority and power in which we are all caught, and particularly the relationship of motivation to act to social consequences.  In this effort we might do worse than facing the extent to which social life is, also, (deep) play, and then making suggestions to policy makers about what is most probably a fundamental feature of humanity.

On the archaeology of action networks

as the live humans scratch their heads to develop a meta-knowledge about the machines (above the everyday knowledge they may gain by interacting with the machine), they find ways (à la Rancière) to develop a new kind of situated knowledge (since the new version of how the plant currently works is not the same as the earlier version of how the plant would work). For example, they hire retired engineers as consultants who themselves figure out where they put in their garage partial blue-prints they were not supposed to have taken out of the factory, and how to smuggle them back into the factory …)

This morning, Gus Andrews sent me the following link: http://wrttn.in/04af1a.

There, in anonymous fashion, someone who signs “An engineer” gives a brief history of a case when “institutional archaeology” was needed because of the loss of “institutional memory” in a large corporation that required “reverse smuggling” of forgotten secrets by a person who knew the secrets but could not have the secrets told him.  Specifically, the corporation and its engineers had become ignorant of how one of their factories worked—even though it did work, and actually worked so well that they wanted to expand it!  But expansion required a knowledge that had been lost through several generations of reorganizations, partial digitization, retirements, etc.  So the corporation brought out of retirement one of the engineers who had designed parts of the machines.  The author of this brief case study has a good sense of all the ironies involved as the business, legal, and engineering parts of the corporations worked together, though in ways they could not mutually acknowledge, to keep the whole working (which it never ceased doing).  As Sacks would say “everyone has to lie” (1975).

This case is another nice demonstration that:
1) “things have agency” (Latour 2005);
2) writing instruction manuals is impossible because, as Garfinkel pointed out one cannot imagine all the settings within which the manual will be read (2002).  One has to add a temporal dimension to this: one cannot imagine which is the part of the manual that will become inaccessible as the manual, as object, disintegrates;
3) Terminator-like, the machines keep working, industry hums along, the humans scratch their head (that this is mostly the case is what Durkheim tried to capture that Latour and other critics cannot quite explain unless they join him in accepting that complex systems have a life of their own, that is they have “agency as things” and there must be mechanisms through which the machines “tell” or “instruct” the humans about what the machines need in order to keep functioning);
4) as the live humans scratch their heads to develop a meta-knowledge about the machines (above the everyday knowledge they may gain by interacting with the machine), they find ways (à la Rancière) to develop a new kind of situated knowledge (since the new version of how the plant currently works is not the same as the earlier version of how the plant would work).  For example, they hire retired engineers as consultants who themselves figure out where they put in their garage partial blue-prints they were not supposed to have taken out of the factory, and how to smuggle them back into the factory …);
5) those who read Lévi-Strauss (1966 [1962] ) must be told again that the distinction bricolage/engineering is a critique of rationalism: real engineers are always bricoleurs.

Latour, Bruno Reassembling the social: An introduction to actor-network theory. New York: Oxford University Press. 2005

Sacks, Harvey “Everyone has to lie.” in Sociocultural dimensions of language use. Edited by M. Sanches and B. Blount, 57-79 . New York: Academic Press 1975

On the (pre-)judicial brain

At the simplest level, the point of having a “judicial” brain is precisely to control and repair what the pre-judicial brain may attempt to do, or has done. The judicial brain might say “drive home” and then leave the pre-judicial one to do the driving. At night, in Riverside Park, a white man’s pre-judicial brain may tighten muscles at the sight of young black man walking towards him, and it is probable that the black man will notice this tightening and this may produce a pre-judicial triggering of “racism.” As they move away, each man may feel stressed and unhappy and actually review the encounter with their judicial brain—and then even perhaps blog about it.

The brain, we are told, acts first, thinks later–literally, by a factor of milliseconds.  That is, according to the kind of research David Eagleman summarizes in his Incognito: The secret lives of the brain (Pantheon, 2011), initial neural responses are faster than “conscious” ones.  This is the kind of research which, as I mused about earlier, confirms methodological individualists’ understandings.

That the brain should be so swift to act is actually essential to our surviving such tasks as, to pick up a recently evolved challenge to human survival, driving a car down a highway.  It is also problematic given that initial responses are easily correlated with various “biases.”  Brain researchers are getting quite good at devising subtle experiments to show how these biases might operate, at the millisecond level, even when the finalized act is non-biased (or biased in the correct direction).  I particularly “liked” (because of its extra-vagance) the experiment that depended on the trajectories of mouse movements towards “White people liking ‘Black People’” (Wojnowicz, Ferguson, Dale, and Spivey 2009).

All this could be used to confirm perennial working hypotheses about the relationship between strongly “learned” responses (probably because they happened repeatedly in early life) and later pre-judicial acts.  Such hypotheses have made sense to many Boasian “culture and personality” anthropologists, to sociologists and others following Bourdieu, and to a host of others over the past century.  In this perspective, the “judicial” brain literally does not, and indeed cannot, know what the larger brain gets the body to do.

For the critics among us, there is work to do here to challenge the neuroscientists on the implication of their altogether wild experiments.  At the simplest level, the point of having a “judicial” brain is precisely to control and repair what the pre-judicial brain may attempt to do, or has done.  The judicial brain might say “drive home” and then leave the pre-judicial one to do the driving.  At night, in Riverside Park, a white man’s pre-judicial brain may tighten muscles at the sight of young black man walking towards him, and it is probable that the black man will notice this tightening and this may produce a pre-judicial triggering of “racism.”  As they move away, each man may feel stressed and unhappy and actually review the encounter with their judicial brain—and then even perhaps blog about it.

But this last classic example raises an issue that neuro-scientific work appears very specifically to ignore: what are the implications of pre-judicial brain activity for routine social interaction?  Take driving down a highway.  Neuro-science tells us that we cannot describe in detail the sequence of muscular acts necessary to change lanes.  What it does not consider is that the first act when changing lane is figuring out whether there is another car in that lane and, if there is, whether one should accelerate or break before starting the change, and whether one should change an initial decision given what the other car is now doing as it noticed what we are doing.  Garfinkel (2002: 92-93) has made much of such joint activities across many bodies assembled on the highway that are required for the necessarily always emergent and yet “immortal” ordering of “driving down the highway.”

All sociologists working at the level of the “adjacency pairs” (and I include here interactional and conversational analysts, ethnomethodologists, etc.) should be the first to confront the neuroscientists since they work at very similar time scales but with radically different understandings of the units needed to analyze the same overall act at the next time scale when the act is concluded.  Other sociologists and anthropologists will have an easier time since we are almost always working with “consciousness.”   After all, our task is not to explain the tightening of muscles or the flashes of stress and anger black and white men passing each other may experience, but rather the evolution of the machineries (vocabularies, discourses, practices, laws, etc.) which make identify human beings as different from each other (from 19th century slavery, to early 20th segregation , to late 20th century civil rights and various kinds of resistances to it to any of these classificatory assemblages.

How the these assemblages influence the struggles within brains as persons ad-judicate each others pre-judicial movements, and change this adjudication as they find out what others have done, or what consequences they are drawing, should remain an open question that will not be answered by experiments that segregate human beings from human beings, and their pre-judicial movements from the delayed judicial ones.

References:

Garfinkel, H. (2002).  Ethnomethodology’s program: Working out Durkheim’s aphorism .  Lanham, MD: Rowman & Littlefield.

Wojnowicz, M. T., Ferguson, M. J., Dale, R., & Spivey, M. J. (2009). The self-organization of explicit attitudes. Psychological Science, 20, 1428-1435. doi:10.1111/j.1467-9280.2009.02448.x

Putting 2 and 2 together, and following up

This story is told as one person coming up with an idea, refining it, and then convincing people in his “squatter area” (in English in the local language) to use it. There was here a hint of network that transformed an individual act into a communal educational event. And this, of course, is what is wonderful about the event.

Here is an addition to my gallery of educational events.  Here is the story of someone(s) who figured out that plastic bottles can provide lighting…

bottle in roof to be use as lighting

The link came to me through my son who got it from …. (probably a long list of referrals with mention of “amazing video”–and this is also an educational event)  Here is the link:

http://www.wimp.com/innovationfinest/

The story is told as one person coming up with an idea, refining it, and then convincing people in his “squatter area” (in English in the local language) to use it.  There was here a hint of network that transformed an individual act into a communal educational event.  And this, of course, is what is wonderful about the event. The editors of wimp.com provide a link to Isang Litrong Liwanak, a web site for the project.

This link reveals that, not so surprisingly anymore, the network has wildly expanded.  And that of course, suggest more educational events by more and more people.

This another case that would make a delightful research project.  Who did what when, for the first time, using what machines, and, most importantly, with whom?