Disparate Forms Research Articles

Gender Disparity and Rural–Urban Divide in Literacy in Punjab

Literacy acts as a vital catalyst to promote human development, foster social progress, and accelerate economic growth. The prevalence of any form of disparity in literacy whether that be based on gender or caste or be region-specific is not compatible with a democratic country’s overarching objectives of socio-economic development. However, despite considerable progress in literacy in recent years, there remain disparities with a bearing on development dividend. This article seeks to investigate the extent of gender disparity and rural–urban divide in literacy in Punjab using district-level data for 1991, 2001, and 2011. Sopher’s Disparity Index and Rural–Urban Differentials Index approaches have been employed to read literacy differentials. Further, the study tried to assess the relationship between literacy disparities and selected development indicators. Besides generating evidence on widespread gender disparity and rural–urban divide in literacy across districts of Punjab, the study revealed such differentials have a systematic adverse bearing on the selected set of development indicators. It is recommended that focused policy interventions should be carried out to improve the literacy levels of females, particularly those belonging to the scheduled caste (SC) community, as well as rural dwellers in districts of Punjab that are tormented by pronounced literacy disparities.

Digital technologies exacerbating mission drift in microfinance institutions: Evidence from India

Digital technologies (DTs) are increasingly recognized as crucial in addressing social issues related to inequality and enhancing the well-being and agency of socially marginalized groups. We however, provide evidence that, instead of alleviating social inequalities, use of DTs (re)produced and exacerbated these inequalities in disparate forms, for an already marginalized population. Based on a qualitative study of employees from five microfinance institutions (MFIs) in India that offer uncollateralized group loans to poor rural women, our findings demonstrate how the pursuit of financial gains through DTs in providing microfinance exacerbated mission drift in MFIs, leading to reduced quality and depth of outreach. The use of DTs undermined social and human capital development — both crucial for alleviating poverty — and widened exclusion rather than bridging the gap. We explicate the quality of outreach (i.e., quality of services provided) as an additional dimension of social outreach, alongside the depth of outreach (i.e., reaching poorer borrowers) for understanding mission drift. Our findings call for consideration of existing intersectional social inequalities when leveraging DTs for social causes.

REPRESENTATIONS OF PRESCHOOL TEACHERS ON CHILDREN'S GENDER AS A FACTOR IN DIFFERENTIATING THEIR FREE PLAY IN THE SCHOOLYARD

Gendered subjectivities are shaped within social structures, such as education, where gender inequalities intersect with other forms of social disparity. The individuals who operate within these structures play a role in both reproducing and maintaining ine-qualities, as well as in actively challenging them. However, as active agents, they can challenge gender order and inequalities, but their capacity to do so is subject to the constraints imposed by the framework in which they operate. The interaction between teachers and children in the schoolyard is a given, with the schoolyard serving as a space of socialization and interaction, thus becoming a field for the formation and nego-tiation of children's subjectivities. Teachers, through their presence in the schoolyard and their representations of children's gender characteristics, are expected to influence the formation of gendered subjectivities. The representations of preschool teachers re-garding children's gender as a factor in differentiating their free play in the schoolyard were the subject of this qualitative study, conducted through interviews. Twelve kin-dergarten teachers working in public and private schools in the Thessaloniki area par-ticipated. The thematic analysis of the data revealed that while the sample of teachers expressed opposition to gender segregation and inequalities, they adopted a neutral stance toward what occurs in the schoolyard. Moreover, many justified the differences they observed in boys' and girls' play in biological terms, among other reasons.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0773/a.php" alt="Hit counter" /></p>

Navigating the Multimodal Landscape: A Review on Integration of Text and Image Data in Machine Learning Architectures

Images and text have become essential parts of the multimodal machine learning (MMML) framework in today’s world because data are always available, and technological breakthroughs bring disparate forms together, and while text adds semantic richness and narrative to images, images capture visual subtleties and emotions. Together, these two media improve knowledge beyond what would be possible with just one revolutionary application. This paper investigates feature extraction and advancement from text and image data using pre-trained models in MMML. It offers a thorough analysis of fusion architectures, outlining text and image data integration and evaluating their overall advantages and effects. Furthermore, it draws attention to the shortcomings and difficulties that MMML currently faces and guides areas that need more research and development. We have gathered 341 research articles from five digital library databases to accomplish this. Following a thorough assessment procedure, we have 88 research papers that enable us to evaluate MMML in detail. Our findings demonstrate that pre-trained models, such as BERT for text and ResNet for images, are predominantly employed for feature extraction due to their robust performance in diverse applications. Fusion techniques, ranging from simple concatenation to advanced attention mechanisms, are extensively adopted to enhance the representation of multimodal data. Despite these advancements, MMML models face significant challenges, including handling noisy data, optimizing dataset size, and ensuring robustness against adversarial attacks. Our findings highlight the necessity for further research to address these challenges, particularly in developing methods to improve the robustness of MMML models.

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging.

Artificial intelligence (AI) models trained using medical images for clinical tasks often exhibit bias in the form of subgroup performance disparities. However, since not all sources of bias in real-world medical imaging data are easily identifiable, it is challenging to comprehensively assess their impacts. In this article, we introduce an analysis framework for systematically and objectively investigating the impact of biases in medical images on AI models. Our framework utilizes synthetic neuroimages with known disease effects and sources of bias. We evaluated the impact of bias effects and the efficacy of 3 bias mitigation strategies in counterfactual data scenarios on a convolutional neural network (CNN) classifier. The analysis revealed that training a CNN model on the datasets containing bias effects resulted in expected subgroup performance disparities. Moreover, reweighing was the most successful bias mitigation strategy for this setup. Finally, we demonstrated that explainable AI methods can aid in investigating the manifestation of bias in the model using this framework. The value of this framework is showcased in our findings on the impact of bias scenarios and efficacy of bias mitigation in a deep learning model pipeline. This systematic analysis can be easily expanded to conduct further controlled in silico trials in other investigations of bias in medical imaging AI. Our novel methodology for objectively studying bias in medical imaging AI can help support the development of clinical decision-support tools that are robust and responsible.

Constructing highly active vanadyl species for efficient selective catalytic reduction of NOx

Vanadia-based catalysts have been commercially applied for selective catalytic reduction with NH3 of NOx (NH3-SCR). Considering the biotoxicity of V2O5, V-based catalysts are demanded to exhibit high catalytic activity with low V2O5 loadings. However, at low vanadium contents, surface VOx primarily present in the form of monomers, which show poor low-temperature activity. Here, efficient low-vanadium-loading catalysts were designed via constructing highly reactive polymeric vanadyl species by introducing disparate forms of niobia species. Niobia species were found to promote the polymerization of surface VOx, and the disparate forms of niobia species had a key influence on the formation of polymeric vanadyl species. Crystalline Nb2O5 promoted the formation of polymeric vanadyl species, induced by a structural effect. By contrast, uniformly dispersed niobium species on the surface of a Nb-Ti-O solid solution support served as new anchoring sites for VOx and promoted a greater extent of polymerization of VOx species via electronic interactions among V, Nb and Ti. Ultimately, Nb-Ti-O solid solution-supported V2O5 exhibited much higher low-temperature reaction rates than TiO2-supported Nb2O5 and V2O5 due to more polymeric vanadyl species. This study provides new methods to design low-vanadium-loading catalysts, offering new perspectives for the modification of transition metal oxides to design efficient catalysts.

Epistemic injustice, healthcare disparities and the missing pipeline: reflections on the exclusion of disabled scholars from health research

People with disabilities are subject to multiple forms of health-related and wider social disparities; carefully focused research is required to inform more inclusive, safe and effective healthcare practice and policy....

Evidence for response inhibition as a control process distinct from the common executive function: A two-study factor analysis.

The dominant model of executive functions, which has held for over two decades, contends that various aspects of seemingly disparate forms of inhibitory control-for example, inhibiting a prepotent response, or inhibiting irrelevant thoughts and distractions-are in fact manifestations of a single latent executive function. Recent work, however, has cast doubt on this dominant model, as certain conditions can dissociate performance on tasks thought to index inhibitory control. Moreover, issues related to task reliability and latent estimation of inhibition processes have prompted questions about whether the structure of inhibitory control can even be reliably estimated at a latent level. We addressed these issues in two studies of healthy young adults (Study 1 N = 154, Study 2, N = 279), examining seven then 12 different tasks taken by prior research to assess inhibitory control. Contrary to the dominant model of executive functions, we found that, at a latent level, inhibitory control was best fit by a replicable two-factor solution, with response inhibition as a distinct executive function. Further, our data suggested that prior work on executive functions may not have observed a response inhibition factor due to task selections (i.e., including either one of two specific tasks was critical to identifying a separate response inhibition factor). Therefore, contrary to the current primary theoretical model of executive functions, these results suggest that response inhibition is, in fact, a distinct control process from the control process underpinning other forms of inhibition, which has important implications for designing interventions and assessing outcomes related to inhibitory control. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Deleuze and Guattari on the French Revolution: Problems, Universal Minority, and the Bourgeoisie

Abstract: This article explores Deleuze and Guattari's theory of revolution in light of their comments on the French Revolution and intersection with the work of Marx. I argue that Deleuze associates revolution with a reformulation of the "problems" that condition experience, something Deleuze and Guattari then complicate through their insistence that institutional practice remain subject to the unfolding of an "indeterminate" yet collective revolutionary identity. I argue that the most important aspect of their theory for contemporary political thought is its argument for the necessity of uniting disparate forms of political experimentation without introducing institutions grounded in general conceptions of the subject, and conclude by discussing the emphasis they place on overcoming the "cogito of communication," a discursive "subject in general" essential to contemporary capitalist democracies.

HOW DO DIFFERENT FORMS OF DIGITALIZATION AFFECT INCOME INEQUALITY?

This article examines how different forms of digitalization affect inequality in Europe. Using a cross-national dataset of economic development and digitalization across a range of regression specifications including country and time fixed effects, this article explores the heterogeneous relationships of disparate forms of digitalization – human capital, broadband connectivity, integration of digital technology into small and medium enterprises, and digital public services – with income inequality. Fixed country and time effects models show that only the digitalization of human capital and integration of digital technology by SMEs are associated with decreases in income inequality. Causal mediation analysis reveals that tertiary education, despite its oft-cited connection to digital technology uptake, has no causal effect on the pathways through which digitalization of labour and SME operations lower inequality, which are direct. The findings tentatively suggest that there exist informal sources of digital skills training apart from formal tertiary education and point to SMEs as a potentially impactful area for investing in digitalization as pathways for income redistribution.

Community Partnership to Co-Develop an Intervention to Promote Equitable Uptake of the COVID-19 Vaccine Among Pediatric Populations

Community Partnership to Co-Develop an Intervention to Promote Equitable Uptake of the COVID-19 Vaccine Among Pediatric Populations

The Impact of Private Investment and Social Investment in the Education Sector in Indonesia

Investment in the field of education stands as the foremost investment in a nation's development. Through education, the skills and productivity of the workforce are enhanced, highlighting the profound impact of educational development on national progress. Nevertheless, the current quality of education in Indonesia remains disparate due to uneven developmental efforts. In light of this situation, private investors are presented with an opportunity to invest in education and facilitate its administration. This research aims to scrutinize the impact of private investor presence and social investment in the educational domain. The research methodology employed is a literature review, examining various sources addressing private investment, social investment, and education. Findings reveal that the involvement of private investors yields positive effects, including enhanced educational quality, increased financial resources, curriculum development innovation, and long-term benefits such as improved employment and health outcomes. However, the presence of private investors also brings negative repercussions, notably in the form of educational access disparities. Impoverished communities face challenges in accessing education in relatively expensive private schools. To mitigate these adverse effects, companies engage in Corporate Social Responsibility (CSR) initiatives in education, particularly in regions where equal access to education remains crucial. This study serves as a reference for contemplating policies involving private investors in educational development within specific areas.

The role of primary cilia in congenital heart defect-associated neurological impairments.

Congenital heart disease (CHD) has, despite significant improvements in patient survival, increasingly become associated with neurological deficits during infancy that persist into adulthood. These impairments afflict a wide range of behavioral domains including executive function, motor learning and coordination, social interaction, and language acquisition, reflecting alterations in multiple brain areas. In the past few decades, it has become clear that CHD is highly genetically heterogeneous, with large chromosomal aneuploidies and copy number variants (CNVs) as well as single nucleotide polymorphisms (SNPs) being implicated in CHD pathogenesis. Intriguingly, many of the identified loss-of-function genetic variants occur in genes important for primary cilia integrity and function, hinting at a key role for primary cilia in CHD. Here we review the current evidence for CHD primary cilia associated genetic variants, their independent functions during cardiac and brain development and their influence on behavior. We also highlight the role of environmental exposures in CHD, including stressors such as surgical factors and anesthesia, and how they might interact with ciliary genetic predispositions to determine the final neurodevelopmental outcome. The multifactorial nature of CHD and neurological impairments linked with it will, on one hand, likely necessitate therapeutic targeting of molecular pathways and neurobehavioral deficits shared by disparate forms of CHD. On the other hand, strategies for better CHD patient stratification based on genomic data, gestational and surgical history, and CHD complexity would allow for more precise therapeutic targeting of comorbid neurological deficits.

Persistent pandemic: The unequal impact of COVID labor on early career academics

AbstractThe COVID‐19 pandemic has not only highlighted preexisting inequalities in academia but has also exacerbated them while giving rise to novel forms of disparities. Drawing upon our experiences as women, parents, and early career academics (ECAs) in Switzerland and enriched by feminist theory on reproductive labor and carework, we examine the unequal impacts of the pandemic. First, our analysis reveals how the pandemic disproportionately impacted ECAs, a group already in a position of precarity within academia. Second, we identify the broad range of tasks brought about by the pandemic as “COVID labor”. This essential labor—undervalued, invisible, and often unpaid—had a particularly negative impact on ECAs. Third, looking at various intersections of difference, we emphasize that the experience of COVID labor was far from uniform among ECAs with institutional responses disregarding its extent and unequal distribution. In conclusion, we underscore the importance of acknowledging the long‐term consequences of COVID labor on ECAs, particularly those belonging to underrepresented groups. Neglecting these issues may lead to the loss of a wide range of talented scholars for reasons that are not related to the quality of their academic performance.

The Construction of the Visible and Invisible Boundaries of Microsegregation: A Case Study from Szeged, Hungary

The concept of microsegregation has gained increasing popularity among researchers dealing with socio-spatial disparities in cities. This is because urban space has become increasingly multifaceted over recent decades, and the boundaries of socio-spatial segregation have also become increasingly subtle, often taking invisible forms below the neighborhood level. This study contributes to the literature on microsegregation by exploring small-scale forms of social disparities in one of the neighborhoods of Szeged, a second-tier city in Hungary. We used both quantitative and qualitative research methods to capture visible and invisible forms of microsegregation in the study area. An analysis of census data confirmed the coupling of socio-economic diversity and polarization at the census-tract level in three different forms as a result of various underlying factors, among which the sorting effect of the housing market plays a leading role. The results of in-depth interviews with experts and residents suggest that although the overall perception of the neighborhood is good and that serious conflicts do not occur, there are palpable socio-spatial differences and signs of segregation at the micro scale. The weak sense of segregation can be partly linked to the lack of public spaces where daily encounters between people from different social groups could take place.

Ways of Looking: The Composite Novel and Posthuman Community in Jon McGregor's Reservoir 13

Jon McGregor’s Reservoir 13 (2017) is set in an unnamed village in the UK’s Peak District and, in thirteen chapters that each cover a year, depicts the everyday lives of the humans, plants and animals in that area. The novel is notable for giving equal emotional significance to human and non-human life, and for being composed of vignettes focused on characters or groups that are arranged chronologically without deference to a dramatic arc. These characteristics ally Reservoir 13 with the contemporary novels being categorised as narratives of community or composite novels, which often use locations to bring together disparate characters. Within this context, Reservoir 13’s unusual highlighting of non-human life raises questions about how the place of the non-human in literary community is framed by composite or fragmented narrative structures. This paper concludes that Reservoir 13 can be seen as an example of a posthuman literary community: through its fragmented structure, externally focalised narration, and inclusion of disparate forms of human and non-human life, McGregor crafts a community not as it might be experienced by one human – the bird’s eye view of the third-person narrator covers too much ground for this – but as a theoretical perspective. In the nascent field of posthuman narratology, Reservoir 13 is a uniquely apt case study for showing how twenty-first century writing might construct a posthuman community with the conundrum of the anthropocentrism and humanism of the novel form lurking in the background.

Abstract P3079: Integrating Existing Cardiac Single-cell RNA Sequencing Datasets To Uncover The Role Of B-cells In Heart Disease

Introduction: The role of B-cells in human heart failure remains unclear. To address this knowledge gap, we analyzed publicly available datasets of scRNAseq and snRNAseq from patients with various forms of cardiomyopathy. Methods and Results: We used two public datasets including single cells or single nuclei RNAseq data collected from the myocardium of patients with arrhythmogenic right ventricular cardiomyopathy (ARVC), dilated cardiomyopathy (DCM), idiopathic cardiac diseases (ICD), or healthy controls. The first dataset comprised 30 healthy controls and 22 non-ischemic DCM; the second contained 18 controls and 61 with DCM, ARVC, or ICD. Data were normalized and scaled, a UMAP plot was generated, and cells were classified using ScType. B-cells were merged into a single matrix, and the final dataset contained 1100 cells from 32 healthy controls, 59 DCM, and 8 ARVC patients. Four different B-cell clusters were identified. The top 100 biomarkers from each cluster were used to identify B-cell subtypes. Cluster 1 was identified as transitional splenic B-cells; Cluster 2 as plasma cells; Cluster 3 as follicular splenic B-cells; Cluster 4, present only in DCM, as immature B cells. Ingenuity Pathway Analysis (IPA) of the genes enriched in each cluster highlighted that different B cell clusters displayed distinct biological activity, ranging from phagosome formation to B cell receptor signaling and cytokine production. Differentially expressed gene analysis comparing healthy controls to DCM and ARVC showed both similar and disease-specific gene expression patterns in the various B cell clusters. For instance, cluster 2 showed upregulation of oxidative phosphorylation in both DCM and ARVC. On the other hand, DCM cluster 2 showed downregulation of CD40 signaling, while in ARVC the same cluster showed downregulation of IL-6 signaling (Z score >2, p<0.05). Discussion: Our findings suggest that human heart failure is associated with perturbations in B cell gene expression, with both shared and disease-specific features. This data supports the notion that B cells likely play a role in human cardiomyopathy. Further, this data suggests that B-cells play distinct roles in disparate forms of cardiac disease.

A switch in jaw form-function coupling during the evolution of mammals.

The evolutionary shift from a single-element ear, multi-element jaw to a multi-element ear, single-element jaw during the transition to crown mammals marks one of the most dramatic structural transformations in vertebrates. Research on this transformation has focused on mammalian middle-ear evolution, but a mandible comprising only the dentary is equally emblematic of this evolutionary radiation. Here, we show that the remarkably diverse jaw shapes of crown mammals are coupled with surprisingly stereotyped jaw stiffness. This strength-based morphofunctional regime has a genetic basis and allowed mammalian jaws to effectively resist deformation as they radiated into highly disparate forms with markedly distinct diets. The main functional consequences for the mandible of decoupling hearing and mastication were a trade-off between higher jaw stiffness versus decreased mechanical efficiency and speed compared with non-mammals. This fundamental and consequential shift in jaw form-function underpins the ecological and taxonomic diversification of crown mammals. This article is part of the theme issue 'The mammalian skull: development, structure and function'.

Strange Forms

Strange Forms

Explaining the gender gap in reproductive transition of Ethiopian youths: A decomposition analysis

The achievement of gender equality and ending all forms of disparity in the spheres of sexual and reproductive health are critical components of sustainable development goals. We endeavor to investigate the characteristics and/or structural sources of the gender gap in the reproductive transition among Ethiopian youths. The analysis was carried out using parts of data drawn from the 2011 and 2016 Ethiopian Demographic and Health Survey. The decomposition of the gender gap in the reproductive transition of youths into components was made using the Blinder-Oaxaca decomposition analysis for non-linear models. The results demonstrate that the delay in the age at first marriage among the youth was accompanied by an increase in the prevalence of premarital sex. Furthermore, the findings show that the gender gap in reproductive transition is triggered by both compositional and structural effects of covariates such as education, modern contraceptive use, and media exposure. Thus, in addition to reducing inequalities in education, media exposure, and deprivation between male and female youths, working on the structural components is recommended to close the gender gap in the reproductive transition of youths.