A combination of peer pressure, gender stereotyping and low expectations contributes to turning potentially gifted kids — especially girls — away from mathematics, wasting a precious national resource, a new study suggests.
The study, by cancer biochemist Janet Mertz of the University of Wisconsin-Madison and her collaborators, appears in the November Notices of the American Mathematical Society.
Mertz’s team tallied the participants in top international competitions for high school students, the William Lowell Putnam Mathematical Competition and the International Mathematical Olympiad, and other data. While girls were underrepresented on all countries’ teams, some countries, including the United States, often had no girls on a team.
The large discrepancies between teams point to cultural causes, Mertz says. “It’s not that girls don’t have the intrinsic aptitude to excel at this level,” she says, “but that something’s happening in the U.S. to inhibit it.” In part, it may be the public’s attitude, she says. “They still believe this myth that girls can’t excel at math.”
Youth culture also may have an impact, branding students’ — not just girls’ — interest in math as “uncool,” the researchers write.
“It certainly resonates with my experience,” says Melanie Wood, who in 1998 became the first female member of the U.S. International Mathematical Olympiad team and is now a graduate student in mathematics at PrincetonUniversity. “There’s no question that doing math — and doing math for fun — was considered nerdy,” especially for a girl, Wood recalls of her grade-school years.
Other cultures may be less discouraging, judging from how many female students with exceptional skills emerge. The study found, for example, that in the history of the math olympiad, Bulgaria — a country with fewer than 8 million people — has sent a total of 21 girls. The United States has sent three.
From 1988 to 1997, the Soviet Union’s (and later Russia’s) teams were, on average, 20 percent girls. In the same period, the U.S. teams had none. Between 1984 and 1990, East Germany’s teams were 11 percent female, while West Germany’s were 100 percent male, Mertz points out, suggesting that genetic differences between countries, if they play a role, can’t be the whole story.
“It wasn’t really a surprise” to read the data, says Cathy Kessel, the Berkeley, Calif.-based president of the Association for Women in Mathematics. She says the results confirm anecdotal evidence about the differences across cultures, but also add to a number of studies demonstrating the role of culture in the gender gap. One such study, published in the May 30 Science, reported that gender differences in a standardized high-school-level math test varied greatly among 40 countries surveyed.
Mertz initiated the study in 2005, prompted by the controversy surrounding statements by former U.S. Secretary of the Treasury Lawrence Summers, who was then the president of HarvardUniversity. Speaking at a conference on the gender gap in science and engineering, Summers alleged that the “different availability of aptitude at the high end” may play an important role.
In recent decades, Women have reduced, erased or inverted the gender gap in academic achievement. For example, slightly more women than men now graduate from U.S. colleges every year and women now earn one out of every four Ph.D.s in math.
But women are still underrepresented in most scientific professions, especially at the highest levels of achievement. According to the study, the nation’s top five mathematics departments (as ranked by U.S. News & World Report) employ 180 tenured professors; only eight are women.
To help understand that stubborn gap, Mertz says her team’s study focused on “the one-in-a-million student” — not just the kid who’ll be able to get a Ph.D. but the one who’ll be a Harvard professor. “It’s the first study I’ve seen that addresses the issue of mathematical talent at the very top of the spectrum,” says Wood.
Kessel says that in the United States the cultural reasons for the gap may go back a long way. “We have a long history of being focused on heredity,” Kessel says, and on the belief that intelligence is genetically determined, inborn and immutable, rather than something that can and needs to be nurtured. “The message I’d like people to carry away,” Kessel says, “is that cultural practices make a difference.”
While I agree with the author's sentiment, the data presented here don’t force the conclusion that cultural considerations are dominantly at fault for the underrepresentation of women in mathematics. In fact, these data fit better in the context that Harvard President Lawrence Summers got into heat for saying in 2005, that mathematical aptitude of men and women have different statistical populations with men having a larger standard deviation than women (both Gaussian, same mean, but larger tails in both directions for men), leading to a natural statistical male preference at the highest levels of mathematics. Admittedly, it is difficult for a lay person to differentiate between what Summers said and a statement that “men are better than women in mathematics”, but scientist should be able to distinguish the two. Maybe there is more to the study than is being presented here, but in looking at the graphic, there is a noticeable anti-correlation between population and percentage of girls on the teams, supporting the statistical view. I.e., larger populations will draw more statistical outliers, and if the male population has a stronger tail, teams from countries with larger populations will have lower percentages of women regardless of cultural tensions. Undoubtedly, more could and should be done to encourage highly achieving women to engage in high end mathematics, but the data here seems to support a model where even a perfectly level cultural playing field will result in higher percentages of men at the top levels of mathematics.
James Conder
Nov. 20, 2008 at 9:43am
Why is it the poor girls always get the end of the stick?
Andreescu, T., J. A. Gallian, J. M. Kane and J. E. Mertz 2008. Cross-Cultural Analysis of Students with Exceptional Talent in Mathematical Problem Solving. Notices of the American Mathematical Society 55 (Nov.): 1248.
Guiso, L., F. Monte, P. Sapienza and L. Zingales 2008. Culture, Gender, and Math. Science 320 (May 30): 1164 [Go to]
Summers, L. H. 2005. Remarks at NBER Conference on Diversifying the Science & Engineering Workforce. Cambridge, Mass. (Jan. 14). [Go to]
Jackson, A. 2004. Has the Women-in-Mathematics Problem Been Solved? Notices of the American Mathematical Society 51 (Aug.): 776. [Go to]
Ellenberg, J. 2003. Is Math a Young Man's Game? Slate (May 16). [Go to]
Andreescu, T., J. A. Gallian, J. M. Kane and J. E. Mertz 2008. Cross-Cultural Analysis of Students with Exceptional Talent in Mathematical Problem Solving. Notices of the American Mathematical Society 55 (Nov.): 1248.
Guiso, L., F. Monte, P. Sapienza and L. Zingales 2008. Culture, Gender, and Math. Science 320 (May 30): 1164 [Go to]
Maybe there is more to the study than is being presented here, but in looking at the graphic, there is a noticeable anti-correlation between population and percentage of girls on the teams, supporting the statistical view. I.e., larger populations will draw more statistical outliers, and if the male population has a stronger tail, teams from countries with larger populations will have lower percentages of women regardless of cultural tensions. Undoubtedly, more could and should be done to encourage highly achieving women to engage in high end mathematics, but the data here seems to support a model where even a perfectly level cultural playing field will result in higher percentages of men at the top levels of mathematics.
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