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The influence of gender ratios on academic careers: Combining social networks with tokenism
This paper examines how gender proportions at the workplace affect the extent to which individual networks support the career progress (i.e. time to promotion). Previous studies have argued that men and women benefit from different network structures. However, the empirical evidence about these diff...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6239321/ https://www.ncbi.nlm.nih.gov/pubmed/30444891 http://dx.doi.org/10.1371/journal.pone.0207337 |
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author | Schoen, Constantin Rost, Katja Seidl, David |
author_facet | Schoen, Constantin Rost, Katja Seidl, David |
author_sort | Schoen, Constantin |
collection | PubMed |
description | This paper examines how gender proportions at the workplace affect the extent to which individual networks support the career progress (i.e. time to promotion). Previous studies have argued that men and women benefit from different network structures. However, the empirical evidence about these differences has been contradictory or inconclusive at best. Combining social networks with tokenism, we show in a longitudinal academic study that gender-related differences in the way that networks affect career progress exist only in situations where women are in a token position. Our empirical results further show that women not in severely underrepresented situations benefit from the same network structure as men. |
format | Online Article Text |
id | pubmed-6239321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62393212018-12-01 The influence of gender ratios on academic careers: Combining social networks with tokenism Schoen, Constantin Rost, Katja Seidl, David PLoS One Research Article This paper examines how gender proportions at the workplace affect the extent to which individual networks support the career progress (i.e. time to promotion). Previous studies have argued that men and women benefit from different network structures. However, the empirical evidence about these differences has been contradictory or inconclusive at best. Combining social networks with tokenism, we show in a longitudinal academic study that gender-related differences in the way that networks affect career progress exist only in situations where women are in a token position. Our empirical results further show that women not in severely underrepresented situations benefit from the same network structure as men. Public Library of Science 2018-11-16 /pmc/articles/PMC6239321/ /pubmed/30444891 http://dx.doi.org/10.1371/journal.pone.0207337 Text en © 2018 Schoen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Schoen, Constantin Rost, Katja Seidl, David The influence of gender ratios on academic careers: Combining social networks with tokenism |
title | The influence of gender ratios on academic careers: Combining social networks with tokenism |
title_full | The influence of gender ratios on academic careers: Combining social networks with tokenism |
title_fullStr | The influence of gender ratios on academic careers: Combining social networks with tokenism |
title_full_unstemmed | The influence of gender ratios on academic careers: Combining social networks with tokenism |
title_short | The influence of gender ratios on academic careers: Combining social networks with tokenism |
title_sort | influence of gender ratios on academic careers: combining social networks with tokenism |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6239321/ https://www.ncbi.nlm.nih.gov/pubmed/30444891 http://dx.doi.org/10.1371/journal.pone.0207337 |
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