Diana Roxana Galos
Biographic Data
| ID | 316565 |
|---|---|
| NAME | Diana Roxana Galos |
| GIVEN NAMES | Diana Roxana |
| FAMILY NAME | Galos |
| SIGNATURE | GALOS D R |
| AFFILIATIONS | University of Copenhagen |
| ORCID | 0000-0002-7907-412X |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
From education to employment
A substantial body of research indicates that graduates’ field of study is a key predictor of the gender wage gap. While previous studies often compare groups based on women’s minority status in a given field, we reframe this by distinguishing between care and non-care fields—defined by their links to stereotypically feminized characteristics and their core care component. Taking the case study of Italy and Finland – representing distinct gender …
Online social class cues and employability
Social media platforms, such as Twitter or Instagram, offer easily accessible information – relevant or not – for employers when evaluating candidates for a position. In particular, they tend to be sources of information about individuals’ interests and leisure activities. Because interests are highly stratified by social class (e.g., engagement in highbrow and lowbrow activities), this represents a new way for class to potentially manifest itsel…
Fairness Evaluations of Higher Education Graduates' Earnings
Educational and occupational horizontal segregation contribute significantly to economic inequalities, especially in contexts with a strong correspondence between fields of study and occupational outputs, such as in Germany. However, the extent to which individuals perceive disparities in economic returns across different fields of study as fair and the factors influencing these fairness evaluations remain largely unexplored. This study aims to u…
Discrimination or a Competitive Climate? Why Women Cannot Translate Their Better High School Grades into University Grades
While girls have better grades than boys in high school, this does not translate into better performance of young women, as compared to young men, in university. Due to the high signalling value of university grades for subsequent income and employment outcomes, this has important consequences for gender inequalities at labour market entry. However, previous studies have not yet examined the potential barriers that might limit women’s ability to …
Double (Dis)Advantage
This study addresses an underexplored mechanism of social inequality transmission, namely, intergenerational transfers from older parents to their adult children in terms of (i) money and (ii) time (specifically, devoted to sporadic or regular childcare). A yet unaddressed question in the literature is whether these two resources are transferred in a cumulative (i.e., both resources being transferred) or compensatory (i.e., only one resource bein…
Social media and hiring
Discrimination based on social class is challenging to study, and therefore likely to be underappreciated due to its subtle nature. Social class is often difficult to gauge from traditional resumes, yet, the expansion of social networking platforms provides employers with an additional source of information. Given that many individuals have a social media presence today, employers can increasingly rely on additional information gleaned from such …
Why do women opt for gender-atypical fields of study? The increasing role of income motivation over time
Gender segregation in fields of study represents an important explanation for gender inequalities in the labor market, such as the gender wage gap. Research shows that horizontal gender segregation in higher education persists for a variety of reasons, including women’s greater communal goals and men’s greater motivation to earn high incomes. Yet with the male breadwinner model in decline, a key question is whether women’s motivation to earn high…
Variations of Gender Gaps in the Labour Market Outcomes of Graduates across Fields of Study
Unequal gender outcomes in occupational success unravel through different channels in higher education. Using the AlmaLaurea dataset comprised of 80% of Italian graduates and 98 fields of study, this article investigates whether men and women receive similar returns on employment and earnings when choosing the same field of study. Two complementary perspectives are applied – Kanter’s theory of relative numbers and the status theory of gender – to…
Social media and hiring
Discrimination based on social class is challenging to study, and therefore likely to be underappreciated due to its subtle nature. Social class is often difficult to gauge from traditional resumes, yet, the expansion of social networking platforms provides employers with an additional source of information. Given that many individuals have a social media presence today, employers can increasingly rely on additional information gleaned from such …
Double (Dis)Advantage
This study addresses an underexplored mechanism of social inequality transmission, namely, intergenerational transfers from older parents to their adult children in terms of (i) money and (ii) time (specifically, devoted to sporadic or regular childcare). A yet unaddressed question in the literature is whether these two resources are transferred in a cumulative (i.e., both resources being transferred) or compensatory (i.e., only one resource bein…
Variations of Gender Gaps in the Labour Market Outcomes of Graduates across Fields of Study
Unequal gender outcomes in occupational success unravel through different channels in higher education. Using the AlmaLaurea dataset comprised of 80% of Italian graduates and 98 fields of study, this article investigates whether men and women receive similar returns on employment and earnings when choosing the same field of study. Two complementary perspectives are applied – Kanter’s theory of relative numbers and the status theory of gender – to…
Why do women opt for gender-atypical fields of study? The increasing role of income motivation over time
Gender segregation in fields of study represents an important explanation for gender inequalities in the labor market, such as the gender wage gap. Research shows that horizontal gender segregation in higher education persists for a variety of reasons, including women’s greater communal goals and men’s greater motivation to earn high incomes. Yet with the male breadwinner model in decline, a key question is whether women’s motivation to earn high…
Variations of Gender Gaps in the Labour Market Outcomes of Graduates across Fields of Study
Unequal gender outcomes in occupational success unravel through different channels in higher education. Using the AlmaLaurea dataset comprised of 80% of Italian graduates and 98 fields of study, this article investigates whether men and women receive similar returns on employment and earnings when choosing the same field of study. Two complementary perspectives are applied – Kanter’s theory of relative numbers and the status theory of gender – to…
Discrimination or a Competitive Climate? Why Women Cannot Translate Their Better High School Grades into University Grades
While girls have better grades than boys in high school, this does not translate into better performance of young women, as compared to young men, in university. Due to the high signalling value of university grades for subsequent income and employment outcomes, this has important consequences for gender inequalities at labour market entry. However, previous studies have not yet examined the potential barriers that might limit women’s ability to …
Double (Dis)Advantage
This study addresses an underexplored mechanism of social inequality transmission, namely, intergenerational transfers from older parents to their adult children in terms of (i) money and (ii) time (specifically, devoted to sporadic or regular childcare). A yet unaddressed question in the literature is whether these two resources are transferred in a cumulative (i.e., both resources being transferred) or compensatory (i.e., only one resource bein…
Social media and hiring
Discrimination based on social class is challenging to study, and therefore likely to be underappreciated due to its subtle nature. Social class is often difficult to gauge from traditional resumes, yet, the expansion of social networking platforms provides employers with an additional source of information. Given that many individuals have a social media presence today, employers can increasingly rely on additional information gleaned from such …
Fairness Evaluations of Higher Education Graduates' Earnings
Educational and occupational horizontal segregation contribute significantly to economic inequalities, especially in contexts with a strong correspondence between fields of study and occupational outputs, such as in Germany. However, the extent to which individuals perceive disparities in economic returns across different fields of study as fair and the factors influencing these fairness evaluations remain largely unexplored. This study aims to u…
From education to employment
A substantial body of research indicates that graduates’ field of study is a key predictor of the gender wage gap. While previous studies often compare groups based on women’s minority status in a given field, we reframe this by distinguishing between care and non-care fields—defined by their links to stereotypically feminized characteristics and their core care component. Taking the case study of Italy and Finland – representing distinct gender …
Online social class cues and employability
Social media platforms, such as Twitter or Instagram, offer easily accessible information – relevant or not – for employers when evaluating candidates for a position. In particular, they tend to be sources of information about individuals’ interests and leisure activities. Because interests are highly stratified by social class (e.g., engagement in highbrow and lowbrow activities), this represents a new way for class to potentially manifest itsel…
Gender Diversity and Inequality (6 works) · Psychology (6 works) · Economics (5 works) · Demographic economics (4 works) · Social Psychology (4 works) · Geography (3 works) · Higher education (3 works) · Inequality (3 works) · Class (philosophy) (2 works) · Earnings (2 works)