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natural selection has operated as strongly or more so on the early stages of the lifespan as on adulthood. one evolved feature of human childhood is high levels of behavioral, cognitive, and neural plasticity, permitting children to adapt to a wide range of physical and social environments. taking an evolutionary perspective on infancy and childhood provides a better understanding of contemporary human development, predicting and understanding adult behavior, and explaining how changes in the early development of our ancestors produced contemporary homo sapiens (1)
text contains a wealth of information about about a wide variety of sociocultural constructs. automated prediction methods can infer these quantities (sentiment analysis is probably the most well-known application). however, there is virtually no limit to the kinds of things we can predict from text: power, trust, misogyny, are all signaled in language. these algorithms easily scale to corpus sizes infeasible for manual analysis. prediction algorithms have become steadily more powerful, especially with the advent of neural network methods. however, applying these techniques usually requires profound programming knowledge and machine learning expertise. as a result, many social scientists do not apply them. this element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their applicability, and python code to execute them. it covers both the ethical foundations of such work as well as the emerging potential of neural network methods (1)
this element examines just how much the public knows about some of america's most stigmatized social groups, who comprise 40.3% of the population, and evaluates whether misinformation matters for shaping policy attitudes and candidate support. the authors design and field an original survey containing large national samples of black, latino, asian, muslim, and white americans, and include measures of misinformation designed to assess the amount of factual information that individuals possess about these groups. they find that republicans, whites, the most racially resentful, and consumers of conservative news outlets are the most likely to be misinformed about socially marginalized groups. their analysis also indicates that misinformation predicts hostile policy support on racialized issues; it is also positively correlated with support for trump. they then conducted three studies aimed at correcting misinformation. their research speaks to the prospects of a well-functioning democracy, and its ramifications on the most marginalized (1)

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检索条件： Social prediction. ( 主题词 )

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1 图书 Text Analysis in Python for Social Scientists
责任者 Dirk Hovy

出版信息 ,31/03/2022

ISBN 978-1-108-95850-9

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Dirk Hovy.Text Analysis in Python for Social Scientists.,31/03/2022.
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http://opac.cdclib.cn:80/opac/book/1003043284
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Text Analysis in Python for Social Scientists

Dirk Hovy.,31/03/2022.
2 图书 Child Development in Evolutionary Perspective
责任者 David F. Bjorklund

出版信息 ,29/10/2020

ISBN 978-1-108-79150-2

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David F. Bjorklund.Child Development in Evolutionary Perspective.,29/10/2020.
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http://opac.cdclib.cn:80/opac/book/1003043139
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Child Development in Evolutionary Perspective

David F. Bjorklund.,29/10/2020.
3 图书 (Mis)Informed: What Americans Know About Social Groups and Why it Matters for Politics
责任者 Marisa Abrajano

出版信息 ,24/06/2021

ISBN 978-1-108-79481-7

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Marisa Abrajano.(Mis)Informed: What Americans Know About Social Groups and Why it Matters for Politics.,24/06/2021.
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(Mis)Informed: What Americans Know About Social Groups and Why it Matters for Politics

Marisa Abrajano.,24/06/2021.

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