PUBBLICAZIONE/PUBLICATION

Permanent URI for this communityhttps://gendermore.unimore.it/handle/123456789/1575

Browse

Settings

Discipline: search.filters.discipline.STEMSubject: search.filters.subject.Gender Discrimination

Search Results

Now showing 1 - 2 of 2
  • Item type:Publication,
    Breaking the glass door in academia? Looking at the role of scientific fields and contextual factors in moderating the gender gap in recruitment: evidence from Italy Open PDF 
    (Springer Science and Business Media LLC, 2025-07-15)
    Gaiaschi, Camilla
    Women's presence in academia has sharply increased in recent years, but gender inequalities in career progression persist. Italy makes no exception to this trend as different studies on the promotion gap to associate and to full professors have suggested. However, no measure of the adjusted gender differential in the previous steps of the career, that is in the transition from the post-doc to the assistant professor position, has been provided so far. This paper aims to fulfill this gap by means of an original, longitudinal, and multi-source dataset on the Italian academic population which has allowed to measure the female disadvantage in recruitment by controlling for a large set of confounding characteristics including individual productivity and, most especially, contextual factors, which have been under-explored so far. Results suggest that women face a small adjusted penalty, of around 3-4%, in academic recruitment. However, when disentangling the analyses by scientific field, strong differences emerge, with the gap reaching a maximum of - 10% in physics while being non-significant in many SSH. Within the STEMM, the life sciences, driven by medicine and biology, appear more gender unequal than many hard sciences. Moreover, a growing number of female full professors in the sub-field and working in a department with good financial resources represent two factors that have a moderate role in reducing the gap. All in all, this work sheds light on the importance of organizational and institutional factors in explaining the gender gap thus calling for structural interventions to make universities more inclusive towards women.
  • Item type:Publication,
    Gender productivity gap among star performers in STEM and other scientific fields. Open PDF 
    (2018)
    Aguinis, Herman
    ;
    Ji, Young Hun
    ;
    Joo, Harry
    We examined the gender productivity gap in science, technology, engineering, mathematics, and other scientific fields (i.e., applied psychology, mathematical psychology), specifically among star performers. Study 1 included 3,853 researchers who published 3,161 articles in mathematics. Study 2 included 45,007 researchers who published 7,746 articles in genetics. Study 3 included 4,081 researchers who published 2,807 articles in applied psychology and 6,337 researchers who published 3,796 articles in mathematical psychology. Results showed that (a) the power law with exponential cutoff is the best-fitting distribution of research productivity across fields and gender groups and (b) there is a considerable gender productivity gap among stars in favor of men across fields. Specifically, the underrepresentation of women is more extreme as we consider more elite ranges of performance (i.e., top 10%, 5%, and 1% of performers). Conceptually, results suggest that individuals vary in research productivity predominantly because of the generative mechanism of incremental differentiation, which is the mechanism that produces power laws with exponential cutoffs. Also, results suggest that incremental differentiation occurs to a greater degree among men and certain forms of discrimination may disproportionately constrain women's output increments. Practically, results suggest that women may have to accumulate more scientific knowledge, resources, and social capital to achieve the same level of increase in total outputs as their male counterparts. Finally, we offer recommendations on interventions aimed at reducing constraints for incremental differentiation among women that could be useful for narrowing the gender productivity gap specifically among star performers. (PsycINFO Database Record (c) 2018 APA, all rights reserved).