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Part II:Speed
【Time 2】
Article 2
In business as in science, prejudice holds women back
Investors favour pitches from men, and recruiters assume that male applicants are better at maths.
Gender-related bias partly explains why men are more likely than women to found start-up companies and why they hold more jobs in science-related fields, according to two studies published this week in Proceedings of the National Academy of Sciences.
In one study, Alison Wood Brooks, a social psychologist at Harvard Business School in Boston, Massachusetts, and her colleagues showed videos of US entrepreneurial pitch competitions to experienced business investors. The investors were 60% more likely to invest in pitches presented by men than by women. What's more, attractiveness gave the men, but not the women, an advantage. This effect was independent of the investor's gender.
To rule out the possibility that the content of each pitch affected the outcome, the researchers showed 194 volunteers the same pitch video, narrated by a man or a woman and accompanied by a photograph of a sex-matched entrepreneur of higher or lower attractiveness. The volunteers were more likely to invest in pitches narrated by a man, especially if they thought he was attractive, but attractiveness did not make female entrepreneurs more competitive.
That finding surprised study co-author Laura Huang, a behavioural economist at the Wharton School of the University of Pennsylvania in Philadelphia. "We had expected that attractiveness might give females a 'premium', mainly because there is much more attention paid to females being concerned about appearance," she says.
But Madeline Heilman, a psychologist at New York University who was not involved in the study, says that attractiveness has been shown to benefit men but not women in fields historically dominated by men — and business investment is certainly such a field. The study, she adds, shows for the first time that stereotypes that other studies have shown benefit men in fields such as management and the sciences seem to operate in business investment as well.
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【Time 3】
Number crunch
In a second study, Ernesto Reuben, a behavioural economist at Columbia University in New York, and his colleagues asked nearly 200 volunteers to evaluate 96 candidate pairs for a job that required skill in a maths-related task.
With no information other than the candidate's appearance, the volunteers ‘hired’ men twice as often as women. This was also the case when applicants told the volunteers how well they thought they would perform in the task, in part because the men were more likely to brag about their performance, and the women were more likely to underestimate it.
When the volunteers were told how the applicants had done in the maths task (which men and women did equally well in most cases), discrimination declined — but it didn't disappear completely. Both male and female recruiters were still more likely (about 30% more on average) to prefer the male applicants.
This suggested that the volunteers were biased against women in positions that require maths skills. Indeed, the researchers found evidence for such a bias in an ‘implicit association test’ (IAT), in which the participants showed stronger associations between pictures of men and words related to maths and science than between pictures of men and words related to the liberal arts. What's more, the stronger their gender–maths bias was in the IAT, the stronger was their tendency to prefer men in their hiring decision for the maths-related job.
To Reuben, this suggests that because people are not used to seeing women in maths-related jobs, they form a stereotype in which the two are not connected. This can create a cycle: stereotypes make it harder for women to succeed in being hired for such jobs, which could in turn discourage women from applying for the jobs in the first place.
For now, it's important to raise awareness that these biases exist and that people often don't know they have them, says study co-author Paola Sapienza, an economist at Northwestern University's Kellogg School of Management in Evanston, Illinois. She says that people should all get to know their own biases, for example by taking the IAT. She adds: "The more people learn that they have biases, the more they [will] be aware and maybe [can] unbias themselves."
Sapienza has already followed her own advice and taken the test. "I was seriously afraid that I had the [gender–maths] bias myself," she says. But she had no reason to worry — she didn't have it.
字数[409]
Source:
http://www.nature.com/news/in-business-as-in-science-prejudice-holds-women-back-1.14845
【Time 4】
Article 3
Elephants recognize the voices of their enemies
African elephants can distinguish human languages, genders and ages associated with danger.
Humans are among the very few animals that constitute a threat to elephants. Yet not all people are a danger — and elephants seem to know it. The giants have shown a remarkable ability to use sight and scent to distinguish between African ethnic groups that have a history of attacking them and groups that do not. Now a study reveals that they can even discern these differences from words spoken in the local tongues.
Biologists Karen McComb and Graeme Shannon at the University of Sussex in Brighton, UK, guessed that African elephants (Loxodonta africana) might be able to listen to human speech and make use of what they heard. To tease out whether this was true, they recorded the voices of men from two Kenyan ethnic groups calmly saying, “Look, look over there, a group of elephants is coming,” in their native languages. One of these groups was the semi-nomadic Maasai, some of whom periodically kill elephants during fierce competition for water or cattle-grazing space. The other was the Kamba, a crop-farming group that rarely has violent encounters with elephants.
The researchers played the recordings to 47 elephant family groups at Amboseli National Park in Kenya and monitored the animals' behaviour. The differences were remarkable. When the elephants heard the Maasai, they were much more likely to cautiously smell the air or huddle together than when they heard the Kamba. Indeed, the animals bunched together nearly twice as tightly when they heard the Maasai.
“We knew elephants could distinguish the Maasai and Kamba by their clothes and smells, but that they can also do so by their voices alone is really interesting,” says Fritz Vollrath, a zoologist at the University of Oxford, UK (see video below).
Fascinated by their findings, McComb, Shannon and their colleagues wondered whether the Maasai language on its own was a danger signal, or whether the animals were responding to the combination of the language and the voice of an adult male who was likely to wield a spear. To find out, they recorded Maasai women and boys saying the same phrase, and monitored elephant-family responses to them.
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【Time 5】
Careful listeners
The differences were similar to what they saw with the Kamba. The elephants were less likely to flee from the voices of Maasai women and boys than they were from Maasai men, and they bunched together less closely. Most intriguingly, the researchers noted that elephant families led by matriarchs more than 42 years old never retreated when they heard the voices of boys, but those led by younger matriarchs retreated roughly 40% of the time.
It is not yet clear whether elephants are born knowing what a dangerous human sounds like or whether they can learn this from one another, but McComb suspects that the knowledge is cultural rather than innate. “Even though spearings by Maasai have declined in recent years, it’s still obvious that fear of them is high. This is likely down to younger elephants following the lead of their matriarchs who remember spearings from long ago,” says McComb.
In fact, elephants seem to be able to communicate about their encounters with dangerous people, according to a separate recent study that appeared late last month in PLOS One2. It found that the animals adjusted the frequencies of their vocalisations as they meet different threats, and made a unique call when they came across swarming bees and a different unique call when they met people who traditionally hunted them. Whether these calls are something akin to language remains to be determined, but the findings certainly hint that there is much more going on in the minds of these animals than previously expected.
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Source:
http://www.nature.com/news/elephants-recognize-the-voices-of-their-enemies-1.14846
【Time 6】
Article 4
How Much Horse Is in Your Burger?
Don't like surprises in your hamburgers? New research may help ensure that you don't get a serving of horse meat when you buy beef. Using Raman spectroscopy, a technique where light scattered off a sample is used to measure molecular vibrations, researchers have created a scoring system that can distinguish beef, horse meat, and mixtures of the two. The work, to be published next month in Food Chemistry, is timely considering a meat scandal that occurred early last year in Europe, where some of the products sold as beef in grocery stores and to caterers turned out to be partially or entirely horse meat instead. The motive appears to have been profit, as horse meat is generally cheaper than beef. Testing to check for horse meat is generally done using DNA analysis, but the new method allows for a simpler and quicker test that can be performed onsite.
Source:
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http://news.sciencemag.org/chemistry/2014/03/scienceshot-how-much-horse-your-burger
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