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Oct 192011
 

Delusions of Gender: How Our Minds, Society, and Neurosexism Create Difference by Cordelia Fine

I enjoy seeing images and reading descriptions of how people perceived the potential of the near future. For example, I recently saw an illustration from the 1900s that showed a room full of people in the year 2000 wearing full Edwardian dress and sitting around a radium fireplace. What is often amusing about these forecasts is that certain areas of life seem so set in stone that no one can imagine them changing. Clothing and hairstyles are certainly one good example. Gender roles are even more interesting: A 1967 vision of the future features a home computer that mom will use to shop for clothes and dad will use to pay the bills and see how much he owes in taxes. The technology is expected to develop, but the people are seen as fairly static.

The theme of Cordelia Fine’s latest book is that these unexamined assumptions help create the reality we study when we examine human behavior and also influence our interpretation of what we see. The first section of the book examines the way our assumptions about gender influence the very behavior we study when we look for inherent gender differences. For example, spatial reasoning is generally taken to be a particularly male skill. Fine cites a study where women outperformed men on a mental rotation task when it was presented in terms of stereotypically female activities (interior decorating, for example), but men did better than women when it was presented in terms of stereotypically male activities (nuclear propulsion engineering, say). This is just one example of many studies that revealed how responsive we are to social cues—even something as subtle as checking a box to indicate our gender before starting a test. Fine covers other aspects of how expectations color the ways that we perceive other people’s behavior, such as different reactions to more or less the same behavior in men and women in leadership positions.

To me, the chapter on stereotype threat seemed simultaneously the saddest and the most promising part of this section. Stereotype threat is what you’re under when you are performing a task that a social group you belong to is believed to be bad at, and it often has a negative effect on progress or performance. Fine writes, “It’s disconcerting to think that those who belong to negatively stereotyped groups might be pervasively hampered by stereotype threat effects in their academic life.” It seems like such a waste to me that thousands of capable brains, especially young brains, are not performing up to their potential because they are stressed by false beliefs along the lines of “Girls can’t do math” or “Guys are not good with words” (or beliefs about what people of your ethnicity are capable of or good at, for that matter). On the other hand, this does indicate that the human race has reserves of untapped, or inadequately tapped, potential on which to draw.

The second section is about the ways in which new results in neuroscience are often interpreted in terms of the same old gender stereotypes. It was surprising to me how many of the things that I thought I knew about gender differences are in fact not really well established. For example, you may have heard about (shoot, I may have written about) articles investigating the influence of fetal testosterone, which is supposedly the basis of some gender differences. I learned that no one has found a good correlation between any of the measurements made so far and any of the various supposedly masculine skills or behaviors that have been examined. (Fine makes an excellent point in the context of this discussion: Men are sometimes said to be better at science, but we haven’t even identified precisely which cognitive abilities make for a successful career in science, so it’s a bit premature to begin trying to identify the prenatal influences that produce the scientifically minded brain.) Another example: Females are said to have a larger corpus callosum, the band of nerve fibers connecting the brain’s hemispheres, but this finding is not cast in stone; in fact, it was rejected in a 2008 review article.

Furthermore, Fine makes the point that even when gender differences in brain activity are truly identified, they don’t necessarily represent something hardwired. We’re learning to understand the brain as a fairly plastic thing, and the effects of socialization surely show up there (where else would they appear?). She quotes neurophysiologist Ruth Bleier to the effect that “Biology can be said to define possibilities but not determine them; it is never irrelevant but it is also not determinant.” It almost seems to me that we are flexible creatures who for some reason really like to see each other in terms of fixed, either-or categories. Anyway, if you have read much in the way of popular science regarding gender differences in the brain, this section of the book may give you some surprises; it certainly provides a lot of valuable information. Chapter 14, “Brain Scams,” is particularly useful as a corrective to some of the pop psychology takes on gender differences.

The third section goes into how socialization occurs, and in particular how parents pass their beliefs about gender on to their children. For example, she has a fascinating discussion of gender-neutral child-rearing. This much-lauded concept is extremely hard to realize in practice; she describes the efforts one couple made to provide a truly gender-neutral background for their children, and it was a Herculean undertaking. People tend to overlook the many influences at work and attribute their children’s choices to genetics if they do not match what the parent is overtly promoting. (If I give a little girl toy trucks and a chemistry set but she wants dolls and a makeup set instead, it must be her hardwired femininity coming out, not all the advertising she sees, the trips down the toy aisle at the store, the television shows and books and movies that promote gender stereotypes, my own unconscious beliefs and behaviors, or the way her friends behave.)

It was almost amusing to read about some of the studies of supposedly gendered preferences measured in very young children. Six-month-old babies acted more interested in a pink doll or a blue truck depending on whether they were female or male, respectively, which is taken to indicate innate gender-based preferences. Has evolution really had time to teach human babies much about trucks (or the color blue, for that matter)? The people who care for them, on the other hand, have had time to teach them plenty, even at six months. (By the way, one interesting fact I picked up is that the current color-coding scheme using pink and blue is fairly recent; in fact, through the end of the 19th century, babies and young children of both genders generally wore white dresses, and when colors began to be used, pink was originally the color for boys.)

Fine has many other amusing but pointed observations about parent-child interactions. For example, even parents who want to stretch the gender boundaries for their daughters will be much more rigid about maintaining them in their sons. She quotes a mother whose son kept asking for a Barbie, so she and her husband “compromised” by getting him a NASCAR Barbie. (There are negative words for women that have no male equivalents—think of “slut,” for example, and words of that ilk—but males get the short end of the stick on this one: the word “tomboy” is, at least these days, attractive in a way that the rough male equivalent, “sissie,” is not.)

I highly recommend the book. The science of human behavior acquires various encrustations of half-baked or misunderstood sorta-facts as it works its way into the popular consciousness; aspects are emphasized or ignored for political or social reasons, and in some cases, the studies are over-interpreted or poorly done to begin with. Gender roles are one of the more touchy areas where science is easily misinterpreted or influenced by biases, although as Fine points out, “to those interested in gender equality there is nothing at all frightening about good science. It is only carelessly done science, or poorly interpreted science, or the neurosexism it feeds, that creates cause for concern.” Regarding that untapped potential I mentioned earlier in this review, Fine has this to say in the epilogue:

When a woman persists with a high-level math course or runs as a presidential candidate, or a father leaves work early to pick up the children from school, they are altering, little by little, the implicit patterns of the minds around them. As society slowly changes, so too do the differences between male and female selves, abilities, emotion, values, interests, hormones, and brains—because each is inextricably intimate with the social context in which it develops and functions.

Notes for the curious:

I wasn’t making it up about the radium fireplace (you’ll need to scroll down to find it) or the 1967 vision of gender stereotyped computer commerce.

The mental rotation study is described in Spatial Cognition and Gender: Instructional and Stimulus Influences on Mental Image Rotation Performance, M. J. Sharps, J. L. Price, and J. K. Williams, Psychology of Women Quarterly, 18(3), 413–425, 1994.

The study about toy dolls and trucks is described in Sex Differences in Infants’ Visual Interest in Toys, G. M. Alexander, T. Wilcox, and R. Woods, Archives of Sexual Behavior, 38(3): 427–433, 2009.

For more on color-coded children’s clothing, see this Smithsonian Magazine article. Check out the slide show, which features Franklin Roosevelt as a little boy. Coincidentally, This Is Not Porn just posted a photo of a very young Ernest Hemingway.

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 Posted by at 8:49 pm
Oct 212009
 

It’s easy to wonder to what degree humans are still subject to natural selection; from the perspective of someone living in an industrialized western nation, it can look like everyone gets to live long enough to reproduce and can successfully raise their offspring to adulthood. Of course, in some parts of the world, that’s much less certain than in others, and furthermore, evolution is complicated. A new study, using data from the Framingham Heart Study, has found that natural selection does still seem to be at work on us.

Researchers used data from the 60-year Framingham study on more than 2,000 post-menopausal North American women. They examined the relationship between roughly half a dozen health-related traits and the number of children a women had, adjusting for things like income and education and assessing the way the traits might affect one another. The result indicates that humans are still evolving; as best I can gather, the idea is that certain heritable traits are likely to appear in greater numbers in future generations. On the basis of this information, several predictions can be made about the way natural selection is shaping the future of the human species (the female half of it, anyway).

To me, the interesting thing about this is the demonstration that we’re an evolving animal just like all the other evolving animals on the planet. The senior author of the study says we’re “kind of average” in the speed with which we evolve. It might not sound like a big deal, but the idea that current humans are not an end product but rather a snapshot in a long process goes against some deeply ingrained cultural assumptions. Even if you totally accept the truth of evolution and understand at some level how it works, it can be hard to really understand that the concept of “human” (or any other species) is provisional and time-dependent. (I thought of this when I saw the Ardipithecus show on Discovery last weekend, in particular regarding the idea that “humans evolved from chimps” versus the more precise statement that both evolved from a common ancestor, and the question of how exactly to categorize each group of animals during that process of evolution.)

This story from Medical News Today and this one from Science Daily have more information. I cannot track down the paper itself based on the citation that’s provided by Science Daily, but here it is anyway: Byars, S., D. Ewbank, et al. (2009). “Natural selection in a contemporary human population.” Proceedings of the National Academy of Sciences 106(42). doi: 10.1073_pnas.0906199106. Maybe the paper is just not listed on the PNAS web site yet.

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 Posted by at 3:03 pm
Sep 172009
 

I went to an interesting talk today, one of Indiana University’s themester activities. Steven Gaulin of UC Santa Barbara spoke about work he has done with William Lassek on the relationship between human brain size and sex differences in fat distribution. It’s a fascinating story. We women are fattier overall than men, and we tend to carry our fat in different places. One thing the sexes have in common, however, is that fat is vital to the brain, the dry weight of which is mostly fat. Could the differences and the similarity be linked?

Gaulin presented several lines of evidence suggesting that fat deposited on women’s hips and thighs provides the material needed to build the unusually big brains (as primate brains go) of their offspring. He also suggested that a link between lower-body fat and cognitive ability in one’s offspring might have driven male preference and thus sexual selection for a low waist-hip ratio (WHR, i.e., the bottom half of an hourglass figure with small waist and large hips).

Among the things he discussed is something called maternal depletion, evident in hunter-gatherers but also more subtly observable in American women, in which the amount of hip/thigh fat decreases as women bear more children. Another factor is a link between WHR in women and cognitive ability (the data they used showed a link between lower WHR—i.e., more lower-body fat—and higher cognitive abilities in their offspring). Menarche (the onset of menstruation in young girls) appears to be related not to the amount of body fat but to its distribution (specifically, a greater amount of it on the hips).

Other lines of evidence include the fact that hip/thigh fat is very hard to get rid of; the body seriously taps into it only during the last trimester of pregnancy and during lactation. Also, hip/thigh fat and abdominal fat (the kind men are more prone to carry around) have opposite effects on the body’s supply of two long-chain polyunsaturated fatty acids that are crucial to brain development, docosahexaenoic acid (DHA) and arachidonic acid (AA). As best I could understand it—I’m not a biochemist, so I’m speaking fairly broadly here—the former promotes and the latter hinders the synthesis of these two fats.

I can’t possibly do justice to the entire talk here. In a nutshell, the shape of women’s bodies could be intimately connected, in interesting ways, with the need to nurture the development in babies of these unusually large brains we have. You can check out Gaulin’s web page for more information, including links to papers about the maternal depletion and menarche research.

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Mar 062008
 

A new fMRI study of 62 children suggests that the early lead girls have in language skills on average is based on differences in how language is processed in boys’ and girls’ brains. In the girls, the language-related areas of the brain were more active than in boys while they were completing spelling and writing tasks. Also, their performance correlated more strongly with this activity, which is also linked with abstract thought, than the boys’ performance did. In boys, performance depended more on the relevant sensory processing–sight for reading words, hearing for words. It’s not clear yet why this should be, or if it extends into adulthood, but these results and any followup studies might have some useful information about how to teach reading and writing.

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Feb 142008
 

The other day I ran across this post at Brains on Purpose, which I found very interesting and somewhat discomfiting, since it describes the dangers of popularizing neuroscience (oversimplification or distortion, for example, or creating a greater sense of certainty than is warranted). It got me thinking about whether I’m doing my best to report neuroscience news carefully enough that the limitations are clearly spelled out and the provisional nature of much of the work is obvious. (The Catholic Church has a ritual it calls examining your conscience, and I guess that’s the best description of what that article spurred in me.) And it’s a good warning for anyone who either writes about or reads about brain science.

Along the same lines, this article about the Mozart effect from the e-Skeptic debunks the amazingly popular but ill-founded idea that passively listening to Mozart’s music can affect your mental performance significantly. The Mozart Effect meme, once it escaped into the wilds of commercial culture, spawned a mini-industry, even though the research on which it is based doesn’t really prove what it’s supposed to prove. By all means, listen to Mozart and play his music for your children (along with a wide range of other music), but take the claims about IQ scores with a grain of salt.

The Science CafĂ© in Bloomington last night was interesting, and also provided a couple of examples of how the media misunderstood or oversimplified a story. Peter Todd of Indiana University talked about recent research on mate choice (a topic in which everyone is extremely interested but for which the scientific explanation is still under construction, making it ripe for misunderstanding). In choosing a mate, we’re faced with a situation where we have to know which of a sequence of potential mates is the best one, without being able to go back in time to an earlier possibility or knowing who we might meet in the future. You must evaluate enough of the options to gauge both the range of possible mates and your own desirability as a mate, which affects how good a mate you can expect to end up with (because you need not only to choose but also to be chosen).

To examine how organisms solve this problem, Todd and others have used agent-based models (simplified computer-based simulations). They’ve also looked at real-world demographic data and, more recently, run some speed-dating experiments. (Speed dating is where a small group of equal numbers of men and women, typically matched for age or other demographic factors, gather for a series of brief one-on-one meetings, each man meeting with each woman. Participants know each other by number and check “yes” or “no” on a card for each person they meet. If two people both check “yes” for each other, the facilitator gives each of them the contact information for the other.)

One result, I believe from the agent-based models, is that the optimal number of potential mates to evaluate is 12; that should provide an organism with a good enough idea of both the mating pool and its own place in the pool. Based on that data, the organism should then basically set a threshold for the best it can expect to get, and choose the first one to come along after those 12 that meets or exceeds the threshold. This is all pretty vague if you try to translate it into human terms–does that mean you need 12 serious relationships (yikes!), or should go on dates with a dozen different people, or look at a dozen profiles in an online dating service? However, a German women’s magazine evidently did not worry about the finer points, and advised its readers that the twelfth man is Mr. Right, which is not only oversimplified but incorrect, because you’re not supposed to choose the twelfth one but to select the best one to come along after the twelfth one.

In the speed-dating studies, Todd and his colleagues gathered tons of data about the participants; the results he showed last night had to do with how men and women in different age groups differed with respect to how many offers they made, and how well people gauged their own place in the mating pool. Further data analysis and a one-year followup are planned. He also mentioned that they had data about what people said they wanted beforehand, and compared that to who they actually chose. When asked, the participants tended to say they wanted someone like themselves, but the choices they made supposedly reflected more of a bias toward the status/fertility tradeoff that evolutionary psychologists believe that men and women make when selecting a mate (women favor high-status males, and men favor females who show signs of fertility–youth, a particular body shape, etc.). The press picked this story up as basically “Men choose attractive women”. (Gee, you think?) By the way, I’ve been reading an excellent critique of evolutionary psychology by David Buller, and just yesterday I read his painstaking analysis of the data supporting the existence of the status/fertility tradeoff, which convinced me that it’s not nearly as well established as it appears to be. However, that’s a subject for another day.

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It’s in his kiss

 Male/female  Comments Off
Feb 082008
 

The chorus of the ’60s pop classic known as the Shoop-Shoop Song assures us that when you wonder if a man loves you, the answer is to be found in his kiss. This cover story from the latest issue of Scientific American Mind confirms this bit of popular wisdom, and also offers a number of other interesting facts about the origins and meaning of kissing. Although romantic kisses can reveal genetic compatibility or good long-term mating potential, and also provide a shot of enjoyable biochemistry, they’re not universally practiced by all humans. Personally I suspect that when e.e. cummings wrote that “Kisses are a better fate than wisdom” he was under the influence of oxytocin.

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Feb 052008
 

Several studies have found that older people in general report having more positive relationships with others than younger people do. One possible reason for this is that older people also say they tend to avoid confrontation rather than trying to talk about a problem, and perhaps as we get older we simply learn to avoid the trouble areas in any given relationship. (I can also understand, from my relationships with my parents, that it can be easier to get along with your children once they are grown up and no longer your responsibility, so that might account for part of the improvement that older people tend to see in their relationships.) A new study of more than 800 people aged 20 and older, however, found that although older people report more positive relationships overall, they find their spouses more irritating and demanding compared to how younger people feel about their spouses, and the negative feelings apparently grew worse over time. (The subjects were surveyed in 1992 and 2005.) This may be an inevitable result of the fact that you spend so much time with a spouse, and so you can’t always avoid areas of contention the way you can with a friend or a grown child. It may also be that the stakes are higher in a marriage, and so it’s harder to drop or avoid a subject on which you don’t agree than it would be in a friendship.

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Feb 032008
 

This article from the New York Times discusses several online dating services that try to use scientific methods to help people find the best long-term romantic partner. eHarmony uses a lengthy personality questionnaire designed by a psychologist. Chemistry.com (a spinoff from Match.com) and Perfectmatch.com each use an algorithm designed by an anthropologist and a sociologist, respectively. You could consider the use of these systems by large numbers of people as something of an experiment; the algorithms have not been published or peer-reviewed, but the companies involved must have some data about how well they work, and evidently academic researchers are interested in that. Helen Fisher, the anthropologist who developed the system used by Chemistry.com, is hoping to publish not only information about how the algorithm works but data from Chemistry.com users that will validate the algorithm, which will be useful.

Personally I’m skeptical about all of the attempts to come up with a widely applicable, science-based method for helping people find a mate. I believe very strongly in science, of course, and I’m fascinated by the ways scientific research can be applied to the process of mate selection. However, I don’t think we’re anywhere near far enough along in understanding personality and relationships to be able to devise an algorithm that will work across the board. I wonder if people are selling these mate selection systems in part because it’s a huge (and somewhat vulnerable) market to be tapped. It’s like any other product that caters to a widely felt need (diets, baldness cures, wrinkle removers): Science certainly may have something to say about the problem, and maybe some of the products out there really do work, but there are so many remedies being pushed on the gullible that it seems to me you have to be extremely cautious about spending your money on any of them.

I will be interested in seeing Fisher’s work when she publishes it, because her method uses sociological and psychological data and also “indicators linked to chemical systems in the brain”, and I’m very curious about how that works. Some of the things discussed in the NYT article have to do with attraction and falling in love, and brain chemistry certainly mediates how that happens. But it seems to me that as hard as it might seem to find someone with whom to fall in love, what’s really hard is to find someone you will still be in love with, or at least contentedly married to, 30 years down the road. The hormonal rush of falling in love doesn’t always have all that much to do with how well you’ll be able to get along with a person over the long haul. In fact, if it did, a rich subject for literature would disappear. It seems to me that if you were to try to use any indicators from brain chemistry to help people find a good match, you’d need to have looked at the brains of people who were falling in love 30 years ago, and see which of them stayed together, and then use their brain chemistry as the model. I’m curious about whether there’s even a difference in the initial stages between those who stay together and those who don’t, and if there is, I’m not sure that’s what Fisher’s algorithm is using.

One reason I’m skeptical about the emergence any time soon of a widely applicable system for matching people up is the complex nature of some of the concepts involved. Take the idea of similarity, for example. Some similarities make for compatibility, but others make for conflict, and still others don’t matter all that much. If one of you votes for Clinton and one for Obama next Tuesday (or even if one of you is blue and the other red), that might not make much of a difference to your relationship. If one of you likes to hike rugged trails and the other prefers mall-walking, at the very least you’ll have a hard time figuring out what to do together on a Saturday afternoon. If you’re middle-aged and in a relationship with someone who is just as passionately attached to his house as you are to yours, you could be in for a rough ride unless the houses are similar and one or the other of you eventually gives his or hers up. (Which means one of you has to be less stubborn than the other.) It’s a complicated concept, any way you look at it. Some scientific papers are listed in a sidebar on the left of the NYT article; if you have a way to access the one by Ruth Gaunt, check that one out for a good summary of the difficulties involved in analyzing whether similarities in a couple are related to marital happiness. The one just above it is interesting as well (and available for free) but it describes research on dating couples and newlyweds, not couples that have been together for a long time.

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