2000
DOI: 10.1057/9780333981085
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Women and Scientific Employment

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Cited by 31 publications
(28 citation statements)
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“…However Şengül and Gülbağcı (2012) found no correlation between the gender of students and their number intellects. Glover (2002) argues in her book Women and Scientific Employment that stereotypes are the leading factors explaining why most women shy away for mathematics and the sciences in general. Following analyses of secondary data to probe women's status in scientific education and employment, Glover concludes that quantitative (that is, the number of women studying STEM-related subjects) and vertical/hierarchical (that is, the ability of women to rise and pursue STEM-related careers) feminization are different and only weakly related.…”
Section: Intoductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However Şengül and Gülbağcı (2012) found no correlation between the gender of students and their number intellects. Glover (2002) argues in her book Women and Scientific Employment that stereotypes are the leading factors explaining why most women shy away for mathematics and the sciences in general. Following analyses of secondary data to probe women's status in scientific education and employment, Glover concludes that quantitative (that is, the number of women studying STEM-related subjects) and vertical/hierarchical (that is, the ability of women to rise and pursue STEM-related careers) feminization are different and only weakly related.…”
Section: Intoductionmentioning
confidence: 99%
“…According to Glover (2002), the idea of more women studying mathematics is not necessarily tantamount to the number of female who specialist in it. Her study found only a weak correlation between the number of women taking STEM subjects and the number of female specialists in STEM fields.…”
Section: Intoductionmentioning
confidence: 99%
“…Thus it is critical to examine the attitudes and stereotypes of women and people of color toward those fi elds as well as toward the professionals representing them, in order to identify process and practices that can lead to improving educational outcomes. Given the global rise in the number of women in the fi elds of interest here, alongside the context of uneven and perplexing gains (Glover, 2000), it is an opportune time to explore whether women and men have differing images of scientists, particularly since there is corresponding growth in popular media images of women as scientists and engineers (Barbercheck, 2001;Mendick, Moreau, and Hollingworth, 2008;Steinke, Long, Johnson, and Ghosh, 2008). If they do have relatively negative images compared to those of their male counterparts, the theory that women' s stereotypes of scientists discourage their interest in STEM education will have continuing salience.…”
Section: Career Stereotypingmentioning
confidence: 99%
“…Table 1, taken from Glover (2000), combines data from Dresselhaus et al (1994) with a supplementary attrition measure.…”
Section: Analytic Density and Empirical Researchmentioning
confidence: 99%
“…In research employment, 51 percent of women scientists were in biology, only 6 percent in physics. So there are long-standing differences in the 'quantitative feminization' (Glover, 2000) of scientific disciplines. Rossiter 's explanation hinges on whether disciplines needed large numbers of research associates for repetitive work like routine data processing, taxonomy and classification.…”
Section: Analytic Density and Empirical Researchmentioning
confidence: 99%