Impacts of gender bias

Gender bias are most obvious in the distribution of income and wealth. This reflects women’s unequal position in the labour market , their less favorable treatment in most social security systems and their lower status within the household. Discrimination against women is also evident in the political sphere. Their access to power is not commensurate with their numbers, their needs or their contributions as citizens. As well as affecting women’s physical and mental health, gender bias also affect the quality of the services they receive. In most developed countries, women are offered equal access to basic health care. However their use of those service may be hindered by a number of gender related factors which are likely to affect poor women in particular. In health organization, gender bias gives significant impact to the evaluation of staff performance, increase stress level and miscommunication. It is also influence the leadership style and also can create ‘glass ceiling’ phenomenon. Job dissatisfaction , absenteeism and high turn over are also the consequences of gender bias. Alongside the development of gender sensitive methods of routine data collection, gender bias in health research will also need to be addressed. Most biomedical research continues to be based on the unstated assumption that women and men are physiologically similar in all respects apart from their reproductive systems. Other biological differences are ignored, as are the social/gender differences that have such a major impact on health

Gender Bias in Nobel Prizes

Strikingly few Nobel laureates within medicine, natural and social sciences are women. Although it is obvious that there are fewer women researchers within these fields, does this gender ratio still fully account for the low number of female Nobel laureates? We examine whether women are awarded the Nobel Prizes less often than the gender ratio suggests. Based on historical data across four scientific fields and a Bayesian hierarchical model, we quantify any possible bias. The model reveals, with exceedingly large confidence, that indeed women are strongly under-represented among Nobel laureates across all disciplines examined

Do Neural Ranking Models Intensify Gender Bias?

Concerns regarding the footprint of societal biases in information retrieval (IR) systems have been raised in several previous studies. In this work, we examine various recent IR models from the perspective of the degree of gender bias in their retrieval results. To this end, we first provide a bias measurement framework which includes two metrics to quantify the degree of the unbalanced presence of gender-related concepts in a given IR model's ranking list. To examine IR models by means of the framework, we create a dataset of non-gendered queries, selected by human annotators. Applying these queries to the MS MARCO Passage retrieval collection, we then measure the gender bias of a BM25 model and several recent neural ranking models. The results show that while all models are strongly biased toward male, the neural models, and in particular the ones based on contextualized embedding models, significantly intensify gender bias. Our experiments also show an overall increase in the gender bias of neural models when they exploit transfer learning, namely when they use (already biased) pre-trained embeddings.Comment: In Proceedings of ACM SIGIR 202

Gender Bias and Organ Transplantation in Nepal

Women in Nepal are less likely to receive proper, high quality medical care than their male relatives. Live-donor kidney transplantation provides a compelling example of such disparities, as 84% of recipients are male, 75% of donors are female and most kidneys are transferred from mother to son and from wife to husband. In the case of transplantation, women are not just denied healthcare, they are also responsible for the health of their male kin. Based on semi-structured ethnographic interviews with transplant patients, organ donors, dialysis patients and relatives, this paper elaborates on the social and economic factors that have created an extreme gender bias in transplantation. We argue that women, whose livelihoods largely depend on their husbands, donate kidneys out of self-protection and a sense of duty. Conversely, men receive kidneys but rarely donate them to women, because the health of men is a more productive economic investment than the health of women. We reject the notion that wives are directly coerced or pressured into donating kidneys to their husbands. Rather, we argue that female kidney donors make thoughtful, independent decisions that serve their best interests, and allow them to assert some control over their lives. It is, however, Nepal’s patriarchal society that both necessitates and limits such assertions of power

Gender Bias in Power Relationships: Evidence from Police Traffic Stops

[Excerpt] We test for the existence of gender bias in power relationships. Specifically, we examine whether police officers are less likely to issue traffic tickets to men or to women during traffic stops. Whereas the conventional wisdom, which we document with surveys, is that women are less likely to receive tickets, our analysis shows otherwise. Examination of a pooled sample of traffic stops from five locations reveals no gender bias, but does show significant regional variation in the likelihood of citations. Analysis by location shows that women are more likely to receive citations in three of the five locations. Men are more likely to receive citations in the other two locations. To our knowledge, this study is the first to test for gender bias in traffic stops, and clearly refutes the conventional wisdom that police are more lenient towards women