Effects of Same-Race Mentorship Preferences on Academic Performance and Survival
| Autor: | Liu, Meijun, Bu, Yi, Li, Daifeng, Ding, Ying, Acuna, Daniel E. |
|---|---|
| Rok vydání: | 2023 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | Same-race mentorship preference refers to mentors or mentees forming connections significantly influenced by a shared race. Although racial diversity in science has been well-studied and linked to favorable outcomes, the extent and effects of same-race mentorship preferences remain largely underexplored. Here, we analyze 465,355 mentor-mentee pairs from more than 60 research areas over the last 70 years to investigate the effect of same-race mentorship preferences on mentees' academic performance and survival. We use causal inference and statistical matching to measure same-race mentorship preferences while accounting for racial demographic variations across institutions, time periods, and research fields. Our findings reveal a pervasive same-race mentorship propensity across races, fields, and universities of varying research intensity. We observe an increase in same-race mentorship propensity over the years, further reinforced inter-generationally within a mentorship lineage. This propensity is more pronounced for minorities (Asians, Blacks, and Hispanics). Our results reveal that mentees under the supervision of mentors with high same-race propensity experience significantly lower productivity, impact, and collaboration reach during and after training, ultimately leading to a 27.6% reduced likelihood of remaining in academia. In contrast, a mentorship approach devoid of racial propensity appears to offer the best prospects for academic performance and persistence. These findings underscore the importance of mentorship diversity for academic success and shed light on factors contributing to minority underrepresentation in science. Comment: 1. After further evaluating the race prediction method, we observed unsatisfactory accuracy and F1 scores. The study's findings could be impacted by these subpar predictions. 2. Our study incorporates both US and non-US samples, revealing that non-US samples may introduce outliers and distort the results. We recognize that the study's findings and conclusions might be affected by data quality |
| Databáze: | arXiv |
| Externí odkaz: |
|