Search Results (1,419)

While public sanitation is a fundamental component of urban infrastructure, it is often treated as a discretionary amenity rather than a core public service subject to legal standards of equality and dignity. This article challenges gender-blind approaches to urban planning by examining how inadequate public toilet provision constrains women’s everyday mobility and presence in public space, raising questions of indirect gender discrimination and regulatory responsibility. Drawing on an exploratory mixed-methods study (N = 97), the analysis combines quantitative assessment of access barriers, qualitative user narratives, and time-based measurement of total restroom use duration to examine patterns of use and waiting with particular attention to gender differences. The findings indicate that hygiene-related concerns are reported across both men and women, without clear evidence of a consistent gender-specific pattern, while women are disproportionately affected by throughput failures, long waiting times, and the absence of care-integrated facilities. At the same time, variation in support for gender-neutral toilet solutions suggests that user acceptance may not align with model-based proposals in the literature. These inequalities reflect an institutional accountability gap with legal implications in the governance of everyday public services. By shifting the focus from numerical potty parity to temporal inequality and responsibility, this article contributes to feminist legal scholarship by situating sanitation within questions of temporal inequality and institutional responsibility. While exploratory in nature, the findings offer empirically grounded insights into inequalities in everyday sanitation governance. Full article

Digital financial services have expanded rapidly across emerging economies and are often presented as tools for advancing women’s economic inclusion. However, the extent to which digital finance is associated with lower gender inequality depends on the broader structural conditions in which women live and work. This study examines the relationship between digital financial participation, labor market integration, and gender inequality in Brazil using nationally representative microdata from the 2025 Global Findex survey. Three outcomes are examined: digital account ownership, use of any digital payment, and engagement in merchant digital payments. Multivariate logit models show moderate gender gaps at early stages of digital financial participation. However, these gaps are not uniform across the population. The interaction results show that gender differences are concentrated mainly among individuals outside employment and among those without internet access. Among employed and digitally connected individuals, the gender gap becomes small and statistically insignificant across the three outcomes. A nonlinear decomposition shows that observable socioeconomic characteristics explain only a small share of the aggregate gender gap, especially for account ownership and any digital payment use. Additional robustness checks using probit and complementary log-log models support the main pattern of results. This suggests that the gender gap cannot be explained only by differences in education, income, employment, or internet access, and may also reflect unobserved household, institutional, or social constraints. The findings suggest that digital finance alone does not equalize participation. Rather, women’s digital financial participation is closely associated with their position in the labor market and their access to digital infrastructure. Because the analysis is based on cross-sectional data, the results should be interpreted as conditional associations rather than causal effects. Digital financial expansion is therefore more likely to support gender inclusion when it is linked to broader policies that strengthen women’s labor force attachment, digital connectivity, and economic autonomy. Full article

As AI permeates daily life, algorithmic platforms increasingly function as complex sociotechnical systems that shape public perception and societal attitudes. Addressing concerns that AI text-to-image models and search engines reinforce stereotypes, this study focuses on China, a context marked by traditional gender norms and a vast technological ecosystem, examining how algorithmic systems perpetuate gender power structures through occupational representations. Using algorithmic audits of 60 occupations, Z-tests, and QAP network analysis, this study compares platform gender representations with national census data, systematically distinguishing “generative bias” in AI platforms (Doubao Seedream 3.0, Jimeng Image 3.0) from “retrieval bias” in search engines (Baidu, Sogou). Findings reveal that search engines reinforce stereotypes by over-representing dominant genders and obscuring non-mainstream ones. Generative AI exhibits more radical distortions. The specialized AI Jimeng shows a strong gender polarization feature, while the general AI Doubao shows an ideal balanced gender presentation tendency, balancing representation yet creating an equally false reality. Compared to search engines, AI platforms have greater creativity in representing occupational gender. This study reveals a mutually reinforcing bias cycle among audiences, media, and algorithms, offering a crucial non-Western perspective for feminist technology studies and significant implications for equitable AI governance. Full article

Purpose: To investigate the relationship between young adults’ perceptions of gender equality and their recognition of psychological and physical dating violence while considering the role of sociodemographic characteristics. Methods: A cross-sectional survey was conducted with 465 young adults aged 18–24 in Türkiye. Data were collected via an online questionnaire that included the Gender Equality Scale, the Perceptions of Dating Violence Scale, and sociodemographic variables. Nonparametric tests, Spearman correlation analyses, and OLS multiple regression analyses were used to assess group differences, bivariate relationships, and the unique predictive contribution of gender equality perceptions while controlling for sociodemographic variables. Results: The findings revealed a significant positive correlation between lower perceptions of gender equality and greater tolerance for psychological and physical dating violence. Educational level, perceived economic status, and romantic relationship status were associated with differences in perceptions of gender equality and violence, while gender and employment status were not significant factors. Conclusions: This study highlights the link between perceptions of gender equality and attitudes toward dating violence. These findings suggest that individual beliefs and sociodemographic characteristics influence how young adults perceive and respond to psychological and physical violence. Further research is needed to explore these relationships across broader populations and cultural contexts. Full article

This study examines the systemic structures that limit inclusivity, diversity, equality, and accessibility (IDEA) in South Africa’s construction industry. It develops an empirically grounded framework, linking digital platform/tool (software tools and systems that facilitate construction processes) adoption to the institutional changes needed to advance gender equity. Building on a literature review, an online survey of 112 Construction Industry Development Board (Cidb)-registered practitioners was analyzed in SPSS v26 using descriptive and inferential statistics and principal component analysis (PCA). Results show that gender differences in mastery of core digital tools were not statistically significant (p > 0.05 across tool categories). The regression model predicting perceived career growth showed weak explanatory power and was not statistically significant (R² = 0.068; F(10,100) = 0.734; p = 0.691). Accordingly, the non-significant model is interpreted as indicating that the predictors included are insufficient to explain perceived career growth in this sample, and that other organizational and structural factors may be more influential. PCA produced a three-component digital inclusivity ecosystem composed of operational fairness, technical empowerment, and integrative leadership, demonstrating 62.84% variance explained and a three-pillar systemic architecture for equity composed of legislative frameworks, socioeconomic support, and organizational practice. Leadership representation remained skewed (73.83% male overall; 78.64% at the director level). The study concludes that progress toward IDEA is more likely to result from combining digital adoption with multi-level institutional reforms. Practical implications include integrated policy interventions and organizational practices that address structural barriers while leveraging digital platforms for inclusion. Full article

This study examines the spatial and temporal transformation of educational attainment and gender-based disparities in Türkiye between 2008 and 2024. Using province-level data obtained from the Turkish Statistical Institute (TÜİK), educational attainment is classified into four categories (no schooling, low, medium, and high) and analyzed through spatial analysis techniques and an initial level–change relationship approach. Gender differences are evaluated by considering both their direction and magnitude across educational categories. The findings reveal a substantial educational transformation characterized by significant declines in no-schooling and low educational attainment levels, alongside marked increases in medium and high educational attainment. However, these improvements are not spatially balanced, as persistent regional disparities and spatial clustering patterns continue, particularly in eastern and southeastern regions of the country. The results further indicate that gender-based disparities vary across educational levels. Women remain more concentrated in lower educational categories, whereas men continue to dominate medium and high educational attainment levels in many regions. Although convergence tendencies are observed in lower educational levels, divergence dynamics at higher educational levels suggest that spatial advantages continue to shape educational outcomes unevenly across regions. These findings indicate that educational expansion does not necessarily produce equal outcomes but rather reshapes spatial and social differences over time. From a sustainability perspective, the findings highlight that educational transformation should be evaluated not only through improvements in educational indicators, but also in relation to human capital accumulation, regional development capacity, and inclusive development processes. In this respect, the study emphasizes the importance of place-based and gender-responsive educational policies aimed at reducing regional disparities, strengthening equal opportunities, and supporting more inclusive regional development. Full article

Accurate prediction of loan defaults is essential for financial institutions seeking to minimize credit losses and maintain portfolio stability. In the vehicle financing segment of emerging markets, real-world datasets frequently exhibit extreme class imbalance ratios that far exceed those encountered in standard benchmark corpora, posing severe challenges for conventional machine learning pipelines. This study introduces a gradient boosting framework integrating Weight of Evidence (WoE) transformation, Bayesian hyperparameter optimization, and three complementary classifiers—Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Categorical Boosting (CatBoost)—to predict vehicle loan default risk. The methodology is evaluated on a large-scale, fully anonymized Turkish vehicle loan dataset ($N=207,572$) with an extreme imbalance ratio of 1:1133 (183 defaults versus 207,389 non-defaults). A strict three-way data partition (60% training, 20% validation, 20% test) is adopted to ensure leakage-free model selection and unbiased performance estimation. A multi-stage experimental pipeline is developed encompassing: (i) statistical feature selection via Mann–Whitney U and chi-square tests with adaptive thresholding, (ii) a comparative analysis of seven resampling strategies including Synthetic Minority Oversampling Technique (SMOTE) variants, Adaptive Synthetic Sampling (ADASYN), and focal loss weighting, (iii) a greedy forward selection ensemble procedure for heterogeneous model fusion, and (iv) a systematic training-set size sensitivity analysis across eight majority undersampling ratios. Under the leakage-free evaluation protocol, the highest-AUC individual model (LightGBM with SMOTE-ENN) achieves an Area Under the Curve (AUC) Receiver Operating Characteristic (ROC) of 0.710 (95% bootstrap CI: 0.614–0.798), while CatBoost with cost-sensitive weighting exhibits superior operational metrics (KS $=0.389$, PR-AUC $=0.011$). The greedy ensemble procedure exhibits high selection instability with only 37 validation-set positives, providing a methodological finding on the minimum sample requirements for reliable ensemble construction under extreme scarcity. Ablation results confirm that WoE encoding contributes 3.1 percentage points to the overall AUC gain. Tree SHAP-based interpretability analysis identifies the financing-to-age ratio, WoE-encoded occupation group, and log financing amount as the primary predictive drivers, with cross-model stability confirmed via Spearman rank correlation. A decision support analysis provides precision–recall curves, a Brier score of 0.0082, reliability diagrams, and threshold-dependent performance at operationally plausible review rates. Fairness evaluation across gender and marital status subgroups demonstrates that threshold-dependent metrics such as Disparate Impact Ratio and Equalized Odds Gap are inherently compromised under extreme minority scarcity, whereas rank-based subgroup AUC analysis with bootstrap 95% confidence intervals preserves meaningful discriminative assessment. These findings provide an empirically validated framework for credit default prediction in highly imbalanced and data-scarce financial environments. Full article

In Arab societies, cultural norms, family expectations, and social visibility constraints shape how young people encounter and respond to gender-related content in online environments, yet these dynamics remain insufficiently understood. Building on prior survey research and co-design workshops that explored participatory approaches to digital intervention design, this study investigates how Arab youth in Qatar perceive and respond to issues of gender equality and social inclusion in social media contexts.The Qatari context is particularly significant due to its rapid digital transformation combined with strong cultural, religious, and regulatory influences shaping youth online expression. Semi-structured interviews were conducted with thirty-two participants aged 18 to 24 residing in Qatar. The interviews explored social media activity, experiences of social inclusion, views on gender equality, and perceived challenges alongside culturally appropriate solutions. Interview transcripts were verified and analyzed using thematic analysis. The analysis revealed three interrelated thematic domains: determinants of attitudes rooted in cultural norms, values, and beliefs; attitudes toward gender equality and social inclusion ranging from supportive to resistant; and behavioral outcomes reflected in passive or active engagement as well as prosocial and antisocial digital behaviors. This study provides the first in-depth qualitative account of Arab youth’s perceptions of gender equality and social inclusion in digital spaces and offers culturally grounded insights to inform the design of inclusive and context-sensitive digital interventions. Full article

This article examines gender inequalities in scientific research in the Mediterranean, with a particular focus on STEM disciplines. It draws on qualitative data from the STEP (STEM and Equality, Diversity and Inclusion for Research Enhancement in Portugal) project, a European Commission-funded initiative aimed at embedding equality, diversity, and inclusion (EDI) principles across partner institutions in Portugal, Italy, France, and Spain. Using semi-structured interviews with five scientific leaders and an inductive thematic analysis, the study explores early-stage mechanisms in the institutionalisation of EDI policies and women’s empowerment trajectories from an intersectional perspective. The analysis identifies emergent patterns suggesting: (i) a gradual strengthening of EDI mainstreaming in contexts with initially limited awareness; (ii) the role of transnational collaboration in enhancing visibility, mentoring, and peer learning; and (iii) the potential of time-bounded initiatives to catalyse participant-observed shifts and institutional routines in formation. Rather than measuring longitudinal impact, the article traces how legitimation, routinisation, and network diffusion may enable EDI principles to extend beyond project lifespans and become embedded in governance structures. These mechanism-focused insights offer a transferable framework for future European cooperation initiatives and contribute to ongoing debates on sustainable gender and EDI policy implementation in Mediterranean research contexts. Full article

This review analyzes the economic, social, and environmental dimensions of water buffalo (Bubalus bubalis) production and its contribution to the Sustainable Development Goals (SDGs). A scoping review following PRISMA-ScR guidelines was conducted using the Web of Science (2020–2026), resulting in 225 included studies. Buffalo production is a multipurpose system that generates value through milk, meat, hides, manure, draft power, and animal-assisted services, with greater longevity than most livestock species. Economically, it supports income diversification, resource efficiency, and functions as a financial asset that can be sold to cover unexpected expenses. Socially, it enhances food security by providing nutrient-dense products, particularly milk with bioactive compounds associated with potential health benefits, and promotes women’s participation in livestock management and household economies. Environmentally, buffalo systems efficiently utilize low-quality forages, are adapted to marginal conditions, contribute to wetland conservation, and provide ecosystem services. These contributions align with several SDGs (1, 2, 5, 8, 12, 13, and 15). However, sector expansion is constrained by limitations in nutrition, management, veterinary services, and reproductive efficiency, as well as environmental challenges related to methane emissions and life cycle impacts. While global methane emissions from buffalo are lower due to their smaller population, emission intensity remains system-dependent and represents a critical challenge. In conclusion, water buffalo production represents a multifunctional and context-dependent system with significant potential to support sustainable development, although targeted innovations are required to improve productivity and address environmental challenges. Future research should integrate One Health and One Welfare approaches, develop long-term studies, and expand research under diverse experimental and field conditions to better characterize the potential health implications of buffalo-derived products. In addition, strengthening circular economy strategies, including region-specific diets to reduce emissions, remains a priority. Full article

Timor-Leste, Asia’s youngest nation since its independence in 2002, has been making progress in its education sector. However, these gains have not translated into leadership representation as expected, with women remaining significantly underrepresented in senior academic and managerial roles in higher education. While existing studies highlight the potential of intersectional disaggregated data to enhance the visibility of layered inequalities and inform more targeted leadership interventions, its application in Timor-Leste remains at an early stage. This study examines respondents’ perception of barriers and enablers influencing the collection and use of intersectional disaggregated data, and their association with perceived leadership interventions aimed at advancing women in higher education leadership in Timor-Leste. A survey design was employed, with questionnaires administered to purposively selected academic and non-academic staff across selected universities in Timor-Leste. Data were analysed using descriptive and inferential techniques, including the Kruskal–Wallis test, and Spearman’s rank correlation (ρ). The findings suggest that respondents perceive key leadership interventions to include women’s leadership development programmes, mentorship, mental health support, and establishment of dedicated equality and diversity units Respondents also identified key enablers and barriers influencing the collection and use of intersectional disaggregated data, including staff training in ethical data practices, the use of mixed-method approaches, and the provision of privacy protections, alongside constraints related to data systems, capacity, and leadership support. Spearman’s analysis showed significant associations between perceived enablers and barriers influencing the collection and use of intersectional disaggregated data and perceived leadership interventions. This study contributes to the gender equity literature by providing empirical insights on perceived institutional conditions, reported barriers, enablers and perceived mechanisms through which intersectional data may inform leadership-related interventions in the context of Timor-Leste’s higher education system. Full article

Objectives: Despite the critical role fathers play in family health decisions, most research on HPV vaccination focuses predominantly on mothers. This study examines gender differences in HPV knowledge and vaccination attitudes among Greek parents, addressing a significant gap in the literature. Methods: A cross-sectional study using convenience sampling was conducted in waiting rooms of public primary healthcare settings in the Larissa prefecture of central Greece, between September and December 2024. Of 250 distributed questionnaires, 208 were returned (response rate: 83%), of which 192 were eligible for analysis. The analysis compares responses from fathers (n = 42) and mothers (n = 150) regarding HPV knowledge, intentions to vaccinate their sons, and general vaccine attitudes; no explicit restriction to one respondent per family was applied. Statistical comparisons employed chi-square tests, Fisher’s exact test, and binary logistic regression. Results: Fathers demonstrated significantly lower HPV awareness compared to mothers (42.9% vs. 64.0%, χ² = 10.907, p = 0.004). Vaccination intentions for sons were similar between groups (fathers: 85.7%, mothers: 85.3%, p = 0.540). No statistically robust association between HPV awareness and vaccination intention was identified in either group, likely reflecting the high overall intention rates and limited outcome variability. Binary logistic regression identified female sex as the only significant independent predictor of HPV awareness (OR = 2.26, 95% CI: 1.12–4.58, p = 0.024). Conclusions: While fathers exhibit significantly lower HPV knowledge than mothers, they demonstrate equal willingness to vaccinate their sons. These findings suggest that knowledge gaps do not necessarily translate to vaccine hesitancy, but highlight the need for targeted, father-inclusive health education interventions. Public health programs should actively engage fathers in HPV vaccination discussions to capitalize on their positive vaccination intentions while addressing their information needs. Full article

This study explores how youth masculinities are constructed in Eswatini’s high schools. Using hegemonic masculinity theory as an analytical lens, data were coded to identify patterns of dominance, strength, and gender hierarchy, thereby highlighting the study’s original contribution to understanding the local manifestation of hegemonic masculinity and advancing theoretical knowledge in this context. Data were collected through a qualitative case study approach involving 36 adolescents aged 16 to 18, comprising equal numbers of 18 boys and 18 girls, from six coeducational high schools. Semi-structured interviews and focus groups revealed that hegemonic masculinity shapes perceptions of gender roles, often promoting aggression in boys and marginalising girls. Sports, especially rugby, are key symbols of masculinity, emphasising strength, dominance, and competitiveness, while girls are excluded from these activities, reinforcing gender inequalities. Institutional practices like task allocation and disciplinary methods further sustain stereotypes, influencing youth identities within cultural and peer pressure contexts. The findings highlight persistent gendered power dynamics and stereotypes that perpetuate inequality. The study makes a significant contribution to the scientific literature by demonstrating how hegemonic masculinity manifests uniquely in Eswatini’s educational and cultural context, thus extending regional studies and providing insights for broader applications. It recommends gender-transformative curricula, increased girls’ participation in male-dominated sports, and gender-neutral disciplinary practices to foster more inclusive, equitable environments. Full article

Social media in Hong Kong Christian communities has been viewed in terms of social equalization, allowing laity to shape theology and community practices. But how is social media an equalizer for religious communities, and along which social dimensions? Drawing on Heidi A. Campbell’s “layers” and Pauline Hope Cheong’s “logics” of power, we offer a framework for examining how social media affects leadership roles, community practices, ideology and identity, and approaches to religious texts, in terms of whether these impacts are continuous with and complementary to existing power structures, displace traditional authority, or involve a dialectic between the two. Through case studies of Hong Kong Christian Key Opinion Leaders (KOL), we show displacements of official roles by lay leaders interacting with an underlying logic of continuity along traditional lines such as gender, social class, and sexual orientation. Online structures of community practice complement existing power structures, reinforcing traditional hierarchies of identity, ideology, and religious texts. We conclude by considering how theological approaches to dispossession may help Hong Kong Christian communities to enter a dialectic of challenges and opportunities for equality. Full article

Psoriasis, a chronic inflammatory skin disease affecting men and women equally, presents distinct gender-based differences in severity and treatment response. While molecular mechanisms underlying psoriasis are well-studied, sex-specific differences remain largely unexplored. To address this, we conducted a comprehensive analysis of transcriptomic data from lesional psoriasis skin and healthy controls, comparing male and female cohorts. Our findings reveal 2760 overlapping differentially expressed genes (DEGs) between sexes, highlighting shared pathways like IL-17 signaling and Th17 differentiation. However, sex-specific pathways emerged, including male-enriched PI3K-Akt signaling and chemokine receptor activity, and female-enriched glycolysis and AHR-NRF2 pathways. Upstream regulator analysis identified sex-specific drivers, including VEGFA activation and CFTR inhibition in males, and AHR activation and FGF21 inhibition in females. Notably, Regulatory T cells (Tregs) and neutrophil abundance differed by sex, aligning with disease severity trends. These results highlight sex-associated molecular and cellular disparities that may be relevant to understanding differences in disease manifestation and treatment response. As an exploratory, hypothesis-generating transcriptomic analysis, this study lays the groundwork for future experimental and clinical validation of sex-specific mechanisms in psoriasis. Full article