News, Views and Careers for All of Higher Education
Sept. 20, 2006
With much fanfare, the National Academies on Monday released a report suggesting that “unintentional” biases and institutional policies were the main reasons for a continued scarcity of women on science and engineering faculties. After the report was issued, universities released the typical statements — expressing concern about bias and pledging to eliminate it.
Unpublished data, however, suggest that most professors don’t agree that discrimination — intentional or otherwise — is the main reason that men hold so many more positions than do women in the sciences. Professors overwhelmingly think it’s a matter of men and women having different interests.
The data come from a national survey of 1,500 professors at all kinds of institutions in the United States. Two sociologists — Neil Gross of Harvard and Solon Simmons of George Mason University — conducted the survey on a range of social and political issues. While they have not yet finished their analysis, they agreed to release the data on women and science because of the interest generated by the National Academies’ study.
The professors they surveyed were asked the following: “In many math, science, and engineering fields there are more male professors than female professors. Do you think this difference is mainly (a) because of discrimination; (b) because of differences in ability between men and women; or © because of differences in interest between men and women.”
Among professors, 1 percent cited differing ability levels, 24 percent saw discrimination, and 75 percent said that the issue was one of different interests. When broken down by gender, far more women (33 percent) than men (17 percent) in academe see discrimination as the main factor. By discipline, sociologists and English professors were much more likely to blame discrimination than were scientists. In terms of age, the responses were largely consistent, although professors over 65 are less likely to see discrimination as the main cause.
The scholars who did the survey said that they weren’t prepared to analyze the results yet, but that it was striking that such small shares of professors see discrimination as a factor — at a time when the National Academies has drawn attention to the continued role of bias.
Other experts on women and science said that the results of this survey say quite a bit about the state of the academy. “Discrimination exists, but it’s gone underground, and that makes it all the more difficult for people to talk about,” said Janet Bandows Koster, executive director for the Association for Women in Science. “If you read all the reports, all the way up to the one that came out yesterday, the theme over and over again is that discrimination still exists.”
What the polling data show, Koster said, is that too many professors think anything short of explicit “I won’t hire a woman” type behavior isn’t discrimination. “No one is going to say that they discriminate these days,” she said.
The idea that lack of interest explains the gender gap doesn’t make sense, she said, when one considers the greater and greater share of AP science courses taken by women, the increases in graduate school enrollments, the parity in medical school enrollments, and many other developments. “The pipelines are full early on,” she said, which would not be the case if this were a matter of interest.
There also continues to be evidence that talented female scientists, early in their careers, run into obstacles that might not be faced by men. She noted, for example, the case at the Massachusetts Institute of Technology, where a female neuroscientist who is considered one of the brightest minds of her generation was discouraged from taking a job there by a senior (male) scholar. Or there’s the Oakland University biologist, a woman who won big grants and backing from her department, only to have the provost reject her tenure bid — sparking widespread complaints. Koster said that these cases come up over and over again — involving women with plenty of interest in science.
“There are some real cultural issues,” she said, adding that what took place at MIT “would never have been allowed in the corporate sector today.” (MIT is currently investigating what took place and the senior scholar denies doing anything wrong.)
Given all the evidence that women are interested in science and face obstacles, should colleges be concerned that so many professors view the problem as one of differing interests? “We’ve got a lot of education to do,” Koster said.
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And, of course, no one if going to “Summers” the National Academies and criticize them for assigning “unintentional” bias to those of us that comprise the “System.” The trend towards “politically correct” research is an interesting one to watch.
K.T., at 8:20 am EDT on September 20, 2006
Gee. How enlightening. Those who DO the discriminating tend to not see discrimination as the problem. This is a surprise?
AB, at 9:00 am EDT on September 20, 2006
I wonder what is the reason(s) behind this discrimination? What someone who says “I won’t hire a woman” thinks and why? Wouldn’t such person realize his own stupidity? I never saw it explained. However, what we know about the CLAIM of such discrimination is that a century and a half ago communists needed to have “exploitation” and the very effective way to do this was relegating 50% of population (women) into “exploited” class.
Michael Pyshnov, What’s behind discrimination?, at 9:55 am EDT on September 20, 2006
Bias and Interests are not necessarily opposites and interests are not fixed like eye color. Interests change depending on people’s experiences. If a person has negative experiences in a field, her/his interests in that field decline. If s/he leaves the field, eventually s/he may say the reason was lack of interest, but the real question is what caused the change?
Shelley Correll, Professor at Cornell, at 10:20 am EDT on September 20, 2006
The methodological problem with surveys such as this is that they do not properly account for interaction effects.
For instance, if women do have high interests in science careers, but are more likely to do research in, say, environmental chemistry, animal behavior, or female cancers than in say pharemcuticals, cellular evolution, or digestive cancers, then perhaps people have an easy time chalking the differences up to interest. However, there is no reason why women with those specialties could not be hiried.
Similarly, if women have high interest in the science professoriate but also in having children and therefore choose not to conduct experiments at 2 am, that can be considered interest but would more likely be due to structural discrimination against women in the profession.
Or finally, if women are discriminated against in publishing opportunities or grant applications (which are of course blind peer reviewed, but editors and program officers have substantial latitude in interpreting peer reviews), which has been proven true in a number of studies, than hiring personnel are choosing the best applicant but women are still being discriminated against.
ML, at 10:25 am EDT on September 20, 2006
It will be interesting to see a more detailed accounting of this survey, including the wording of questions. I’m wondering how one can purport to produce a metric on something as subject as “interests"? And what determines interests, anyway? If subtle messages are sent from early in childhood about expected social roles and so forth, to what extent are “interests” channeled in a particular direction? And might this not be an instance of societal bias resulting in self-fulfilling prophecy?
Art Leonard, Professor at NY Law School, at 12:45 pm EDT on September 20, 2006
I would say that men have changed when girls were taught the idea that “sky is the limit” and women started making “progress” in science by political means. Unfortunately, there could be this motive for discrimination: someone has learned that hiring a woman would mean having in your lab a “female” (not a lady) with all the political, unrelated to work, attitudes, and, one day — accusations of bias. A real and sad situation.The greatest evil that an employer can do is to make judgement based on statistics. But all that garbage that comes from above and must be obeyed as “gidelines", is first — ignoring the person and obeing statistical fraud. They tell you to hire a statistical average, not a person.
Michael Pyshnov, at 3:55 pm EDT on September 20, 2006
Seems quite “modern” to ignore data that does not support one’s theoretical bias or prejudice.
Socialistic modern theories that base their entire existence on pervasive gender or racial discrimination can’t “see’ any of the data on hours worked, number of publications, willingness to relocate, or other factors supervisors love.
Instead, it has been so “modern” since Federick Engels and August Babels, to assume the village (the commune or the soviet) owes a person free child care so one might “have it all.” This in spite of the feelings and preferences of many unenlightened women who would prefer to stay home to teach and rock the cradle.
Yes comrades, we must give those poor domestic individuals more time to stay home and raise the families they want; let the unchilded work the extra hours in the lab for free. It is owed to the village, the commune, or the soviet that is busy raising more idiots.
Dr. F. Gump, at 5:20 am EDT on September 21, 2006
Why is the “main reason” of such great significance here? Isn’t this just the tyranny of the majority washing out any potentially useful information? (And aren’t IHE readers generally supposed to be academics, who can deal with more complex arguments with more than two possiblities and even involving interacting variables?)
If women “choose” to go off the tenure track in order to have children in a culture where women continue to carry out a disproportionate share of child-rearing responsibilities, is that a choice or discrimination at work? I have to say both. Shelly Correll, Professor at Cornell (a perfectly poetic signature) has addressed the matter most directly.
Academics have a responsibility to avoid either/or logic in all cases that do not address situations of two mutually exclusive possibilities. Rather than IHE discussing studies that either/or situations that scream for both/and, it should insist upon studies that produce meaningful results.
Thane Doss, Yomiuri Culture Centers, Japan, at 5:20 am EDT on September 21, 2006
I agree with the majority of the professors interviewed that it is a matter of choice. Women do “choose” not to go into the sciences or engineering because of the blatant sexism and the setbacks that they know that they will face in their careers.
I knew a few female students in graduate school — all of which dealt with or faced discrimination in one form or another. In fact, one professor in the program was described as “immature” for his incredibly intolerant behavior towards one of them. But I guess they left because they made choices.
In fact, “choices” are why fewer Americans are pursuing the sciences and engineering. They are choosing not to do so because of offshoring of engineering functions INCLUDING R & D and design, because of CEO quotes and newspaper coverage that belittle American prowess in science and technology, because of widespread plagiarism and other forms of academic dishonesty in engineering graduate schools, and because of the intervention of industry and government interests in promoting international students in engineering programs.
Scrawed, at 5:25 am EDT on September 21, 2006
I would like to ask three questions. 1. Everyone seems to assume that subtle bias and discrimination causes underrepresentation of the victim group. Is there any evidence for this? Until roughly 1960 there was open and blatant discrimination in this country against Jews in academia and in the sciences. If two candidates were exactly equal and one was a Jew that candidate would definitely not get the job. This had the effect of causing Jewish candidates to work harder and to excel to the point that they had no equals. And they did and were if anything over-represented in Academia. How can one explain the vastly different presumed effect of subtle and amost invisible bias on women candidates? 2. While all generalizations about groups of people are false, there are conceivaly true generalizations about average behavior of same. In my experience, women on the average are more practical than men. Perhaps they have to deal as adolescents with issues concerning their appearance, with experiences with blood and of the need for cleanliness, among other things far more, typically than do young men. And as a result you tend to see a higher proportion of young men who are entirely improvident and impractical and slovenly than you see such young women. Also, in my experiece, an academic career at a university is a very impractical career choice for a young person. The ability and drive and dedication needed for a high level of success in academia, if applied to almost any other career choice (other than the arts) would almost assure success and pecuniary rewards far beyond those available to scholars. I offer myself as an example. I believe I have acheived a reasonable level of academic success over a long career. Yet my son, who started a business five years ago, now draws a salary from it that exceeds mine. Could it be that highly talented young women tend to go into more practical fields such as law, medicine, politics, or business, rather than devoting all their energies to the relatively thankless and risk prone task of getting tenure? (Especially if they are taught that there are subtle and invisible forces beyong their control preventing their success in academia?) 3. In my adademic field I have encountered a large number of talented young men and women, and a very few of them whose abilities and accomplishments are so great that they take my breath away. All of this latter group have been males. At a level slightly below (but well qualified for tenure at a good school) there are many more people, and a growing number of them are women. But women still represent a small percentage of this group. I hesitate to generalize at all from these observations. But is there any reason to believe that truly exceptional people, one in perhaps a hundred million, are evenly distributed over all groups in the population?
Daniel, at 6:10 pm EDT on September 25, 2006
I’m a woman about to complete a Ph.D. in a hard science in a respectable program. And I’m trying to figure out whether I want to stay in academia. The answer seems to be that academia doesn’t want me on my terms.
Some of those terms are entirely personal, and (I think) non gender related: I want research to be a spice in an existence whose main dish is teaching. This means that I’m not particularly interested in an R1, right now. (However, perhaps if I finished my program and worked at a post-doc for a bit, my priorities would shift.)
Some of these terms are structural: There are not a ton of primarily-undergrad job postings in my field right now. Usually a post-doc would give me a few extra years of flexibility to find a good fit. However, due to my husband’s career, I have limited geographical mobility — I can ask him to move once, but not the two or three times required for your average “one or two post-docs before getting an tenure track job” scheme in the sciences. And I need to live in an area where he can get the sort of industrial R+D position that his Ph.D. qualifies him for and which he wants. This is a gender issue — your average female Ph.D. is much more likely to be constrained by her partner’s career than your average male Ph.D.
Academia is the only career option I’m considering that doesn’t offer either a single move or the opportunity to stay where I am now. All the other options (industry in my field, management consulting, high school teaching) are concentrated in large enough cities that my husband can probably find something promising. Most of the other options pay more. (Even high school teaching in my urban setting would not pay less than many assistant professor positions.) And some of them offer more family-friendly lifestyles.
So I fear that I’m going to end up being a leak in the pipeline. Is it for lack of interest? Well, maybe, if you define “lack of interest” as being “lack of a passion so great that it overwhelms all other priorities in your life". If this were the same standard men were held to, it would be at least equitable. Academia demands a very flexible personal life. As long as men are more likely to have the required flexibility, then there’s a gender bias. It’s not unique to academia, but academia’s demands certainly exacerbate the effects of that difference.
The solution is for society’s gender norms to shift enough that it’s just as likely for a man to be either the primary child-care provider or the one in the more flexible career his wife. At that point we’d be better able to gauge whether “interest” means “I’m really interested in this field", or “I’m more interested in this field than anything else in life.”
Emily, Grad Student at MIT, at 7:40 pm EDT on October 4, 2006
Discrimination, bias, or whatever you want to call it is something many of experience EVERY DAY in both small and significant ways, even those few of us who have made it to being full profesors at research universities. These datasets are interesting not because they leave open the question whether discrimination is occurring, but why so many fail to see what is going on around them — and in many cases what they as individuals are doing to cause or perpetuate bias. If we weigh anecdotes by the women being discriminated against vs. statistical datasets dominated by those doing the discriminating, and consider that the real debate, we all lose.
FemaleScienceProfessor, Full Professor in Physical Sciences at Big Research University, at 8:20 pm EDT on October 5, 2006
I’m tired of the phrase, “The reason that there aren’t very many women in academia/STEM/computer science is because they just aren’t interested.” It may be hard to see how innately discriminatory that statement is until you replace it with, “The reason that there aren’t very many African Americans in academia is because they just aren’t interested.”
I also recommend that folks read the classic Maccoby and Jacklin “The Psychology of Sex Differences” to see just how similar the two genders really are. So much of the differences between men and women derive from inane media hype perpetuated by idiots like John Gray and Dr. Phil.
Rather than focus on innate gender differences, I challenge people to equalize opportunities for all people to enter these fields. Until then, please don’t bother telling me I’m not interested in math.
FemaleCSGradStudent, at 4:15 pm EDT on October 6, 2006
Bias — you never think it happens until it happens to YOU. And then, being a rational person who never thought your clever, respectable colleagues would act this way, you brush it off and think you’re being paranoid. And then it happens again, a little more blatantly. And then you hear something. And then you get the creeping sensation that maybe you’re not being paranoid. And then you try and stop it. But by then, maybe, it’s already too late.
Joolya, at 10:01 am EDT on October 27, 2006
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Perhaps everyone is right: 1% of the variance is due to abilities, 24% to discrimination, and 75% to interests. Certainly my interests changed after graduate school. This seems like an important issue for further research.
We need more scientific research questioning the politically correct null hypotheses of no difference in abilities, discrimination, and interests. Larry Summers was right.
JLR, at 7:35 am EDT on September 20, 2006