18 papers · ranked by Valyu relevance
Val Sylvester
To date, contemporary research on intersectionality has provided limited evidence regarding how the health and wellbeing of first-generation, senior Caribbean women have been influenced by their experiences of migration following World War II to the United Kingdom (UK) and the United States (US). The push and pull…
Gemma Hunting, Olena Hankivsky, Ashlee Christoffersen
Background COVID-19 was a catalyst for popularizing intersectionality, an approach now recognized as central to understanding the inequitable consequences of COVID-19 and as a necessary lens for recovery. Yet, a key question remains: Did the pandemic provide the stimulus for improving or advancing operational…
Ariane Teixeira de Santana, Telmara Menezes Couto, Patricia Santos de Oliveira
Objective: To reflect on the potential of Constructivist Grounded Theory articulated with intersectionality as a critical methodological and epistemological strategy in the investigation of reproductive injustices. Method: Theoretical, reflective study with a dialectical perspective, using bibliographic research as its…
Gavin Cook
Given the recent targeting of Chinese scientists by the Department of Justice and sizable contributions of Chinese scientists to American science, it is urgent to investigate the presence and the particulars of anti-Chinese discrimination in the American academy. Across a sample of all faculty in the top 100…
Elham Ghasemi, Fatemeh Rajabi, Reza Majdzadeh, Magdalena Szaflarski
Despite all the efforts to reduce health inequalities, societies and governments still recognize it as a common concern. Given the complexity of health inequalities, it is crucial to develop comprehensive frameworks to address the social determinants of health involved in shaping health inequalities . As a relatively…
Edyta Bogucka, Sanja Šćepanović, Daniele Quercia
AI risk assessment is the primary tool for identifying harms caused by AI systems. These include intersectional harms, which arise from the interaction between identity categories (e.g., class and skin tone) and which do not occur, or occur differently, when those categories are considered separately. Yet existing AI…
Udeme Samuel Jacob, Sri Nurhayati, Mbulaheni Obert Maguvhe
Background Women with disabilities are underrepresented in leadership roles despite global commitments to diversity. This systematic literature review examines the barriers and enablers impacting their advancement in these positions, addressing a critical gap at the intersection of gender, disability, and leadership…
Aline Chenou, Valérie Wilmé, Nadia Tiberti, Erik‐André Sauleau + 1 more
Despite their proclaimed universality, healthcare systems produce systematic inequities shaped by intersecting axes of power, a paradox that intersectionality is uniquely positioned to address. This philosophical-reflexive inquiry proposes repositioning intersectionality within nursing sciences not merely as an…
Yao Lyu, Jessica Shen, Alina Faisal, John M. Carroll
Social media platforms are important venues for identity expression, and the Human-Computer Interaction community has been paying growing attention to how marginalized groups express their identities on these platforms. Joining the emerging literature on intersectional experiences, we study blind TikTokers…
Farjana Yesmin
Machine learning models trained on imbalanced datasets often exhibit intersectional biases—systematic errors arising from the interaction of multiple attributes such as object class and environmental conditions. This paper presents a data-driven framework for analyzing and mitigating such biases in image…
Hannah Nichols, Talia Swanson, Jordan Roberts, Renette-Kaire Tchocksi + 3 more
Racial equity remains a critical challenge in postsecondary science education, as Black students experience higher attrition rates and diminished well-being compared to their White peers. While active learning has been shown to reduce failure rates and narrow achievement gaps, the interpersonal affordances and…
Jeanne Monnier, Thomas George, Frédéric Guyard, Christèle Tarnec + 1 more
Fairness in machine learning remains challenging due to its ethical complexity, the absence of a universal definition, and the need for context-specific bias metrics. Existing methods still struggle with intersectionality, multiclass settings, and limited flexibility and generality. To address these gaps, we introduce…
M. Neyret, S. Lavorel, B. Locatelli, B. Martín-López
While nature contributes to multiple dimensions of human quality of life, access to nature and its benefits is unequally distributed. We surveyed residents of a French metropolitan area to address three research gaps: (i) what are the most common barriers to accessing various Nature’s Contributions to People (NCP)?…
Authors not listed
People of color in the United States are disproportionately and unfairly exposed to air pollution. Equity-oriented scientific evaluations quantifying these disparities often use population-average exposure metrics to capture the overall inequality within a system. Utilizing these metrics involves choices about the…
Wischell Joseph, Erin L. Dolan, Trevor T. Tuma
Undergraduate research experiences offer important paths into scientific research careers, yet students do not experience them uniformly. For Black women, these experiences occur within racialized and gendered environments that may shape whether they perceive research careers as attainable. Yet little is known about…
Authors not listed
In the United States, people of color are disproportionately and unjustly exposed to air pollution. Historically, environmental policy has emphasized aggregate emission reductions; yet major emission reduction scenarios do not sufficiently mitigate relative exposure disparities. Here, we show that without focusing on…
E. Penelope Holland, Jalene M. LaMontagne, V. Bala Chaudhary, Suw Charman-Anderson + 5 more
Gender inequities in scientific research persist, from citation indices to collaboration networks and funding success. Current estimates for achieving equal representation remain in timescales of decades to centuries. To help individuals and groups improve their gender representation in a shorter timeframe, we present…
Cyril C. Grueter
The emergence of tolerance between distinct social groups is a central question in social evolution, with relevance to both nonhuman primates and early human societies. Ecological factors such as resource heterogeneity and social threats like bachelor male presence have each been proposed as drivers of intergroup…