Séminaire de l’axe DEVSENCEA : le lundi 16 mai de
14h à 16h en MR005.
Nous aurons le plaisir d’accueillir Andrei CIMPIAN, professeur de l’université de New-York. Il interviendra sur le sujet suivant :
Based on Billions of Words on the Internet, PEOPLE = MEN
Recent advances have made it possible to precisely measure the extent
to which any two words are used in similar contexts. In turn, this
measure of similarity in linguistic context also captures the extent
to which the concepts being denoted are similar. When extracted from
massive corpora of text written by millions of individuals, this
measure of linguistic similarity can provide insight into the
collective concepts of a linguistic community, concepts that both
reflect and reinforce widespread ways of thinking. Using this
approach, we investigated the collective concept PERSON/PEOPLE, which
forms the basis for nearly all societal decision- and policy-making.
In three studies and three preregistered replications with similarity
metrics extracted from a corpus of over 630 billion English words, we
found that the collective concept PERSON/PEOPLE is not gender-neutral
but rather prioritizes men over women—a fundamental bias in our
species’ collective view of itself.
Présentation de l’auteur :
Andrei CIMPIAN, earned a PhD in psychology
from Stanford University in 2008 and is now Associate Professor of
Psychology at New York University. One of his main areas of expertise
is academic achievement and motivation. Among other topics, he has
investigated common cultural beliefs about intellectual
ability—including stereotypes about who has such ability—and the
effects these beliefs have on young people’s aspirations and
achievement. In a second line of work, Dr. Cimpian investigates the
development of children’s concepts of natural kinds and social
groups, and their explanations for what they observe in the world. Dr.
Cimpian’s research has been published in top journals such as
Science, Behavioral and Brain Sciences, and Psychological Science, earning him the 2018 American Psychological Association Distinguished Scientific
Award for Early Career Contribution to Psychology. Media outlets such
as The New York Times, The Atlantic, The Washington Post, NPR, and
The Economist have covered his work.