Gender and STEM: Understanding Segregation in Science, Technology, Engineering and Mathematics

This volume features thirteen original chapters on the causes and consequences of gender segregation in scientific, technical, engineering, and mathematics ("STEM") occupations and fields of study. Although women have made great strides in equalizing access to labor markets and higher educ...

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Detalhes bibliográficos
Autor principal: Maria Charles (Ed.) (auth)
Outros Autores: Sarah Thébaud (Ed.) (auth)
Formato: Capítulo de Livro
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2018
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Acesso em linha:Get Fullteks
DOAB: description of the publication
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041 0 |a English 
042 |a dc 
100 1 |a Maria Charles (Ed.)  |4 auth 
700 1 |a Sarah Thébaud (Ed.)  |4 auth 
245 1 0 |a Gender and STEM: Understanding Segregation in Science, Technology, Engineering and Mathematics 
260 |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2018 
300 |a 1 electronic resource (284 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a This volume features thirteen original chapters on the causes and consequences of gender segregation in scientific, technical, engineering, and mathematics ("STEM") occupations and fields of study. Although women have made great strides in equalizing access to labor markets and higher education, many STEM fields-particularly in the physical sciences and engineering-remain strongholds of gender segregation in the United States and other reputably gender-progressive societies. Policymakers, business leaders and activists have launched countless initiatives to diversify access to lucrative, high status occupations and ameliorate labor shortages that diminish innovation and competitiveness. Contributors to this volume apply diverse theoretical lenses and methodological approaches to understand the individual, interactional, organizational, and cultural dynamics that drive this segregation in the United States. Results show that the gender composition of scientific and technical fields varies a great deal over time and across organizational contexts and socio-demographic groups defined by race, ethnicity, class, and sexuality. But despite this variability, STEM work and STEM workers are widely presumed to be naturally and inevitably masculine. Research presented here reveals how these stereotypes combine with cultural beliefs about natural and fundamental differences between men and women to produce gendered aspirations and reinforce inequalities in the US scientific and technical workforce. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-nc-nd/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ 
546 |a English 
653 |a Women 
653 |a Engineering 
653 |a Segregation 
653 |a Race/ethnicity 
653 |a Men 
653 |a Sexuality 
653 |a Science 
653 |a Mathematics 
653 |a Gender 
653 |a STEM 
653 |a Inequality 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/48339  |7 0  |z DOAB: description of the publication