Institution
Boston College
Education•Boston, Massachusetts, United States•
About: Boston College is a education organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 9749 authors who have published 25406 publications receiving 1105145 citations. The organization is also known as: BC.
Topics: Population, Poison control, Catalysis, Context (language use), Politics
Papers published on a yearly basis
Papers
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TL;DR: In this article, a survey of the American public is used to model citizen political recruitment as a two-stage process, where those who recruit others to become active in politics seek likely activists through "rational prospecting" and they seek acquiescence to their requests.
Abstract: A survey of the American public is used to model citizen political recruitment as a two-stage process. First, those who recruit others to become active in politics seek likely activists through “rational prospecting.” Second, they seek acquiescence to their requests. We model each part of the process, delineating the characteristics of individuals that make them attractive prospects and that make them likely to say “yes.” Recruiters who have information about, and leverage over, their targets are more likely to be successful. In seeking out people who would be likely not only to participate but also to participate effectively, rational prospectors select people with characteristics that are already overrepresented among participants. The net result of the recruitment process for political activity in general—and for financial contributions, in particular—is to exacerbate participatory stratification.
349 citations
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18 Mar 2021TL;DR: The authors describe how language used to communicate about autism within much of autism research can reflect and perpetuate ableist ideologies (i.e., beliefs and practices that discriminative of individuals with autism).
Abstract: In this commentary, we describe how language used to communicate about autism within much of autism research can reflect and perpetuate ableist ideologies (i.e., beliefs and practices that discrimi...
349 citations
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TL;DR: In the New Keynesian model, preference, cost-push, and monetary shocks all compete with the real-business-cycle model's technology shock in driving aggregate fluctuations.
Abstract: In the New Keynesian model, preference, cost-push, and monetary shocks all compete with the real-business-cycle model's technology shock in driving aggregate fluctuations. A version of this model, estimated via maximum likelihood, points to these other shocks as being more important for explaining the behavior of output, inflation, and interest rates in the postwar U.S. data. These results weaken the links between the current generation of New Keynesian models and the real-business-cycle models from which they were originally derived. They also suggest that Federal Reserve officials have often faced difficult trade-offs in conducting monetary policy.
349 citations
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16 May 1996TL;DR: Giftedness and the Family: The Emotional Life of the Gifted Child Schools: How They Fail, How They Could Help What Happens to Gifted Children When They Grow Up? Sorting Myth from Reality.
Abstract: Nine Myths About Giftedness Globally Gifted: The Children Behind the Myth Unevenly Gifted, Even Learning Disabled Artistic and Musical Children The IQ Myth The Biology of Giftedness Giftedness and the Family So Different from Others: The Emotional Life of the Gifted Child Schools: How They Fail, How They Could Help What Happens to Gifted Children When They Grow Up? Sorting Myth from Reality.
348 citations
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TL;DR: The data indicate that the basal activity of the endogenous brain OT system is sufficient to promote natural occurring social preference in rodents while synthetic OT shows potential to reverse stress-induced social avoidance and might thus be of use for treating social phobia and social dysfunction in humans.
347 citations
Authors
Showing all 9922 results
Name | H-index | Papers | Citations |
---|---|---|---|
Eric J. Topol | 193 | 1373 | 151025 |
Gang Chen | 167 | 3372 | 149819 |
Wei Li | 158 | 1855 | 124748 |
Daniel L. Schacter | 149 | 592 | 90148 |
Asli Demirguc-Kunt | 137 | 429 | 78166 |
Stephen G. Ellis | 127 | 655 | 65073 |
James A. Russell | 124 | 1024 | 87929 |
Zhifeng Ren | 122 | 695 | 71212 |
Jeffrey J. Popma | 121 | 702 | 72455 |
Mike Clarke | 113 | 1037 | 164328 |
Kendall N. Houk | 112 | 997 | 54877 |
James M. Poterba | 107 | 487 | 44868 |
Gregory C. Fu | 106 | 381 | 32248 |
Myles Brown | 105 | 348 | 52423 |
Richard R. Schrock | 103 | 724 | 43919 |