Multiple Margins Research Articles

Praxis of compliance: feminist solidarity for women tech workers in India during Covid-19

ABSTRACT Feminist activism persisted even in the isolating times of the COVID-19 pandemic. But how did the crisis shape feminist solidarity, especially for subjects facing multiple marginalities? In this article, based on in-depth interviews and participant observation, I examine how women tech workers in India – as gendered labour in the Global South – participated in various online groups to overcome their isolation. These women ostensibly acted as compliant neoliberal and heteronormative subjects, but their compliance paved the way for feminist solidarity. I theorize this paradox as the ‘praxis of compliance.’ As a theoretical framework, ‘praxis of compliance’ foregrounds the structural barriers to women workers’ participation in collective feminist activism. It also reveals some alternative strategies of building feminist solidarity within the constraints of the neoliberal economy as well as local and global crises that deepen inequality. I identify three potential areas of praxis of compliance for women tech workers in India: professional, personal and labour activism.

Locked In: Reindustrialisation and the Production of Multiple Marginalities in an Old Mining Town of Hungary

AbstractThis paper aims to unfold how peripheral reindustrialisation in Central and Eastern Europe (CEE) produced multiple marginalities in local spaces. Relying on a cultural political economic (CPE) approach, we analyse how the imaginary of reindustrialisation encompassed the discourses on development and the strategies and practices of powerful agents of economic restructuring in an old mining town of Hungary, which entailed new dimensions and depths of poverty. By discussing the changing labour, housing, and environmental conditions of the local poor, we relate structural changes to the changing conditions of social reproduction and local history, and highlight how the new economic trajectory produced marginalised spaces within a dynamic region. In this way, we also extend CPE‐guided research more to the realms of social reproduction and ethnic social relations to get a more fine‐grained understanding of inequalities rooted in peripheral industrialisation and scrutinise prevailing narratives of economic development in CEE.

Multiple marginalization, discrimination, and disordered eating among youth aged 10-11.

Although rates of weight discrimination are on-par with racial, ethnic, and gender discrimination, comparatively less work has examined impacts of weight-based discrimination in youth, including on disordered eating. Knowing whether experiences of weight-based discrimination, including in youth with multiply-marginalized identities, are associated with disordered eating could identify vulnerable youth and inform intervention efforts. Youth (N = 11,875) ages 10-11 were recruited through the Adolescent Brain Cognitive Development (ABCD) study. Logistic regressions using cross-sectional data examined discrimination experiences (weight, perceived sexual orientation, race/ethnicity, national origin) and disordered eating (binge-eating, vomiting, weight-gain fear, weight self-worth). Models included race/ethnicity, age, sex, parental income, and degree of elevated weight. Raked poststratification weights were used. Rates of weight-based discrimination (6.2%) were similar to rates of race/ethnicity (4.4%) and sexual orientation discrimination (4.5%). Weight-based discrimination was associated with more disordered eating. Youth reporting multiple experiences of discrimination had significantly increased disordered eating compared to youth who did not report discrimination. Weight-based discrimination is common in youth and associated with disordered eating. Youth with elevated weight are more likely to be multiply marginalized and experience disordered eating. These findings suggest discrimination, including weight-based discrimination, is a critical intervention target to prevent and treat eating disorders. Experiences of discrimination contribute to poorer health; however, weight-based discrimination is relatively understudied. Data from a large sample of youth ages 10-11 showed that youth with elevated weight reported experiencing multiple types of discrimination, and multiply-marginalized youth had increased odds of disordered eating with each additional type of discrimination. Together, this suggests that weight-based discrimination is a critical target to prevent and treat eating disorders, especially in multiply-marginalized youth.

Inverse Weight-Balancing for Deep Long-Tailed Learning

The performance of deep learning models often degrades rapidly when faced with imbalanced data characterized by a long-tailed distribution. Researchers have found that the fully connected layer trained by cross-entropy loss has large weight-norms for classes with many samples, but not for classes with few samples. How to address the data imbalance problem with both the encoder and the classifier seems an under-researched problem. In this paper, we propose an inverse weight-balancing (IWB) approach to guide model training and alleviate the data imbalance problem in two stages. In the first stage, an encoder and classifier (the fully connected layer) are trained using conventional cross-entropy loss. In the second stage, with a fixed encoder, the classifier is finetuned through an adaptive distribution for IWB in the decision space. Unlike existing inverse image frequency that implements a multiplicative margin adjustment transformation in the classification layer, our approach can be interpreted as an adaptive distribution alignment strategy using not only the class-wise number distribution but also the sample-wise difficulty distribution in both encoder and classifier. Experiments show that our method can greatly improve performance on imbalanced datasets such as CIFAR100-LT with different imbalance factors, ImageNet-LT, and iNaturelists2018.

Conflict, gender and ontological security-seeking between Eritrea and Tel Aviv

ABSTRACT The proliferating research in ontological security (OS) studies explores how irregular situations of ‘radical disjuncture’ remove the protective cocoon of routinised trust relations that enables the actors to ‘bracket out’ daily threats and dangers. Following this loss of trust, the actors perform a variety of OS-seeking strategies in their attempts to re-establish their lost trust in themselves and their surroundings. But how do disempowered actors in global politics, who suffer multiple marginalities and flee states that turn against their own citizens, seek ontological security (OS)? Focusing on Eritrean asylum-seeking women in southern Tel-Aviv, we rely on ‘thick’ ethnographic data to demonstrate how even when statist violence is the norm, the quest for OS persists in unexpected ways. Adding new insight to the growing research on trust and OS in international relations (IR) and security studies, the article exposes the multiple emerging OS-seeking strategies that thrive in the developing spaces of global politics, while shedding new light on the gendered politics of migration.

Determination of Planning Target Volume in Radiotherapy - A Review

Treatment volume definitions used in three-dimensional radiotherapy treatment planning are essential in advancing treatment modalities. However, there are many sources of error during the treatment preparation and execution that limit the accuracy. Consequently, a safety margin is required to add to the target to ensure that the planned dose is delivered to the target. Multiple margins surround the tumour to reduce positional inaccuracy, such as Clinical Target Volume (CTV), Planning Target Volume (PTV), etc. The International Commission of Units and Measurement (ICRU) recommended margins in 1978. It was later reviewed in Reports 50 and 62 of ICRU, providing information on margins covering gross volume, clinical volume, and critical structures that should be eliminated as feasible. This article aims to discuss various techniques and methods that various authors have created. Keywords: Margin, Errors, GTV, CTV, ITV, PTV, ICRU 50, ICRU 62, Radiotherapy.

Experiences of patients with disabilities and sexual or gender minority status during healthcare interactions.

The purpose of this study was to examine the lived experiences of lesbian, gay, bisexual, transgender, queer, and other (LGBTQ+) people with disabilities when interacting with healthcare professionals related to their gender identity, sexuality, and disability. Historically marginalized groups face many inequities in health care. However, little is known about the intersectional experiences of LGBTQ+ people with disabilities when receiving health care given their likelihood to encounter multiple marginalizations. Data were collected via the 2019 National Survey on Health and Disability (NSHD) and included a sample of 197 LGBTQ+ respondents with disabilities living in the U.S. Quantitative data and demographics were analyzed using descriptive methods. Qualitative data were analyzed using deductive and inductive methods. 72.2% of LGBTQ+ respondents with disabilities avoided discussing their gender or sexual identity with their healthcare providers, with 9.8% never disclosing their identity. Qualitative analyses revealed themes centered around experiences of negative interactions with healthcare providers, including fear, distrust, and avoidance of care (40.1%), dismissal or denial of treatment (30.5%), and assault or aggressive activity (4.1%), although some reported no problems or need to discuss their LGBTQ+ or disability identities (14.7%). LGBTQ+ people with disabilities reported high rates of negative experiences disclosing gender or sexual identity and/or disability with healthcare providers. Further research is needed to determine whether negative interactions with medical providers may be caused by a lack of medical understanding, false assumptions about the de-sexualization of disabled people, or ignorance about LGBTQ+ identities.

Enhancing Accessibility in India: A Roadmap for Inclusive Development

India has initiated some reforms for disabled persons but it lags behind international standards. Especially in sports, India has talented players but no support. A brief survey of para-athletes and women para-athletes show that the situation is dismal. This article propounds that subpar governance mechanisms and inadequate funding hinders basic infrastructure provisions to para-athletes. By clearly articulating the governance policies, structures, budgets and regular monitoring, the quality of services provided to disabled persons can be improved. Supportive infrastructure is essential to support women para-athletes who face social stigma and often, multiple marginalities due to intersections of gender, race and economic status with disability. While weaving accessibility in the built environment, transportation and information and communication technology is indispensable, India will have to work on changing public perception towards disabled individuals through innovative features, communication, awareness, training programs, and partnerships with private initiatives to improve the lived experiences of this community. Designing gender-inclusive infrastructure, adaptive sports equipment for women para-athletes, supplemented by comprehensive health, education and employment benefits will boost participation of women with disabilities in sports. As Indian para-sports picks speed as a result of supportive policies, governance and infrastructure, it can bring recognition and subsequent opportunities to the disabled community as a whole. This publication aims to inform policymakers, organizations, and the public about the impending progress yet to be made in accessibility and inspire efforts to create more inclusive and equitable environments for all individuals, regardless of their abilities.

Underrepresentation of blind and deaf participants in the All of Us Research Program.

Blind and deaf individuals comprise large populations that often experience health disparities, with those from marginalized gender, racial, ethnic and low-socioeconomic communities commonly experiencing compounded health inequities. Including these populations in precision medicine research is critical for scientific benefits to accrue to them. We assessed representation of blind and deaf people in the All of Us Research Program (AoURP) 2018-2023 cohort of participants who provided electronic health records and compared it with the Centers for Disease Control and Prevention 2018 national estimates by key demographic characteristics and intersections thereof. Blind and deaf AoURP participants are considerably underrepresented in the cohort, especially among working-age adults (younger than age 65 years), as well as Asian and multi-racial participants. Analyses show compounded underrepresentation at the intersection of multiple marginalization (that is, racial or ethnic minoritized group, female sex, low education and low income), most substantively for working-age blind participants identifying as Black or African American female with education levels lower than high school (representing one-fifth of their national prevalence). Underrepresentation raises concerns about the generalizability of findings in studies that use these data and limited benefits for the already underserved blind and deaf populations.

Structural and Socio-Political Barriers to Providing Services to Arab-Palestinian Young Women: Social Workers’ Perspectives

Abstract The aim of the study was to understand structural and socio-political barriers faced by social workers to providing services to Arab-Palestinian young women abused in childhood, considering their multiple marginalisation. The literature has addressed the structural barriers in terms of the written policy and the social services provided to the Arab-Palestinian minority. However, little is known about how these barriers affect the provision of services to Arab-Palestinian young women abused in childhood from the perspective of service providers. To address this gap, twenty-one social workers were interviewed in depth. The findings revealed two main themes: (i) structural discrimination and the socio-political context of Arab Palestinians in Israel; (ii) challenges and structural barriers at the level of social policy. Our findings shed light on the oppressive othering of Arab-Palestinian young women, who feel invisible vis- à-vis governmental organisations. Thus, social workers working in the field should examine the needs of the young women and work in collaboration with senior government officials to promote culture- and gender-adapted programmes.

Suicidality by Sexual Identity and Correlates Among American Indian and Alaska Native High School Students

PurposeThis study aims to determine the prevalence of suicidality among American Indian and Alaskan Native (AI/AN) adolescents. Additionally, we measured suicidality, stratified by sex, and its association with sexual identity, sexual violence, and binge drinking. MethodsWe pooled data from the Youth Risk Behavior Survey from 2005 to 2019 to analyze the prevalence of sexual minorities, forced sex, and binge drinking, and their association with suicidality using basic descriptive statistics followed by adjusted odds ratios stratified by sex among AI/AN youth. Results19% of AI/AN participants reported having suicidal thoughts and 14% reported having a previous suicide attempt. More than 17% of AI/AN participants identified as sexual minority youth (SMY). Compared to AI/AN heterosexual youth, AI/AN bisexual youth had significantly higher odds of reporting suicidal thoughts (aOR = 16.01), planning (aOR = 12.4), and previous attempts (aOR = 7.73). This pattern was also significantly demonstrated for AI/AN gay/lesbian youth. 43% of all AI/AN participants reported being forced into sexual intercourse. The presence of binge drinking was associated with higher odds of suicidal thoughts for both females and males compared to those who did not binge drink. DiscussionAt the intersection of multiple marginalization, AI/AN SMY have a high mental health burden, demonstrating the need for culturally informed, community-led, and targeted mental health support focused on SMY AI/AN. Though this study fails to capture the heterogeneity within the AI/AN community, as nuances exist at the tribal level, these results demonstrate work needs to be done to support the health burden that AI/AN youth carry.

The impact of multiple marginalization on the association between acute exposure to hot summer temperature and reduced childhood cognitive performance

The impact of multiple marginalization on the association between acute exposure to hot summer temperature and reduced childhood cognitive performance

Studying Latina Mobilization Intersectionally, Studying Latinas Mobilizing Intersectionality

ABSTRACT Located at the intersection of multiple marginalities, US Latinas have often mobilized in ways that reflect this intersectional positioning. Their mobilization across and between various social movements is an important feature of their activism, which has been frequently overlooked, and studies that focus on this social movement intersectionality are an important means of locating it. But there are also important differences among Latinas, who may not all share the same intersectional locations or commitments. In this article, I argue the need for an open and expansive intersectional approach to studying US Latina activism, one that aims to identify and understand the intragroup differences in where, why, and how Latinas mobilize.

Using a Sample Size Calculation Framework for Clinical Prediction Models When Developing and Selecting Mapping Algorithms Based on Linear Regression.

To propose using a framework for calculating the sample size for clinical prediction models when developing and selecting mapping algorithms from a health-related quality-of-life (HRQOL) measure onto the score of a preference-based measure (PBM) using linear regression. The framework was summarized for health economics researchers. Mapping studies that mapped the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 onto the EQ-5D-3L index using linear regression were evaluated in terms of sample size. The required sample size for each study was calculated using 4 criteria: global shrinkage factor ≥ 0.9, difference between the apparent and adjusted R2 ≤ 0.05, multiplicative margin of error in the estimated residual standard deviation ≤ 1.1, and absolute margin of error in the estimated model intercept ≤ 0.025. Ten mapping studies were identified. The information required to calculate the sample size was successfully extracted from previous mapping studies. Four of 10 mapping studies did not have sufficient sample sizes. Further extension of this framework to other regression approaches used in mapping studies is necessary. The sample size should be considered when developing and selecting a mapping algorithm based on linear regression. No recommendation or guidance is available for the sample size to develop and select a mapping algorithm from a health-related quality-of-life measure onto the score of a preference-based measure.This research proposes using a framework for calculating the sample size for clinical prediction models in sample size consideration for mapping algorithms using linear regression.A survey showed that the information required to calculate the sample size could be successfully extracted from previous mapping studies and that 4 of 10 mapping studies did not have sufficient sample sizes.

Trans formative Schools: Transing Education

Systems of oppression pressure our Trans community to conform to societal norms, to silence ourselves, and to hide our truth. Trans formative Schools (TfS) believes a middle school that teaches transformational resistance will intervene at a critical inflection point, bringing both joy and purpose into the lives of our Transgender, Nonbinary, Genderqueer and Two-Spirit students and their teachers. TfS is especially cognizant of the impact Trans formative Schools will make on the lives of children with multiple marginalizations. TfS believes that transing education by centering transness in co-constructed student-centered spaces will embolden youth to enlist the tools to read and write power that will lead them to lives dedicated to collective liberation.

“Coming out of the closet about sexual assault”: Intersectional sexual assault stigma and (non) disclosure to formal support providers among survivors using Reddit

Sexual assault is a pervasive, violent and often gendered crime that can result in significant negative consequences. Many sexual assault survivors consider disclosing to health and social care providers, therapists, and others who collectively fall under the banner of formal support, in order to access information, referrals, treatment and/or emotional support, however barriers to disclosure remain. This qualitative study is unique in its application of an intersectional sexual assault stigmatization framework to understand (non)disclosure to formal support providers among diverse sexual assault survivors. Through anonymous online narratives posted to the platform Reddit, survivors documented experiences of intersectional sexual assault stigma (perceived, internalized, anticipated, experienced) showing that they were not only stigmatized through negative gender stereotyping, but they were also marginalized through other structural inequities. The experience of multiple marginalization that arose from intersectional sexual assault stigma often impeded survivors in accessing and/or utilizing the formal support they wished for. The findings suggest that formal support providers could benefit from stigma reduction training related specifically to sexual assault survivors and that current models of stigma and discrimination training need to be expanded to include intersectional stigma. Further, the findings suggest that beyond training at an organizational level, a broader intervention aimed at reducing structural stigma and discrimination toward sexual assault survivors at a societal level appears warranted. Implications for future research related to the unique disclosure, health, and social care needs of diverse sexual assault survivors and support-seeking online alongside or in lieu of formal support are discussed.

Comprehensive Treatment Uncertainty Analysis and PTV Margin Estimation for Fiducial Tracking in Robotic Liver Stereotactic Body Radiation Therapy.

This study aims to quantify the uncertainties of CyberKnife Synchrony fiducial tracking for liver stereotactic body radiation therapy (SBRT) cases, and evaluate the required planning target volume (PTV) margins. A total of 11 liver tumor patients with a total of 57 fractions, who underwent SBRT with synchronous fiducial tracking, were enrolled for the present study. The correlation/prediction model error, geometric error, and beam targeting error were quantified to determine the patient-level and fraction-level individual composite treatment uncertainties. The composite uncertainties and multiple margin recipes were compared for scenarios with and without rotation correction during treatment. The correlation model error-related uncertainty was 4.3±1.8, 1.4±0.5 and 1.8±0.7 mm in the superior-inferior (SI), left-right, and anterior-posterior directions, respectively. These were the primary contributors among all uncertainty sources. The geometric error significantly increased for treatments without rotation correction. The fraction-level composite uncertainties had a long tail distribution. Furthermore, the generally used 5-mm isotropic margin covered all uncertainties in the left-right and anterior-posterior directions, and only 75% of uncertainties in the SI direction. In order to cover 90% of uncertainties in the SI direction, an 8-mm margin would be needed. For scenarios without rotation correction, additional safety margins should be added, especially in the superior-inferior and anterior-posterior directions. The present study revealed that the correlation model error contributes to most of the uncertainties in the results. Most patients/fractions can be covered by a 5-mm margin. Patients with large treatment uncertainties might need a patient-specific margin.

Intersecting Sexual Behavior and Gender Identity Stigmas Among Transgender Women in the United States: Burden and Associations with Sexual Health.

In the United States, a context of multiple marginalization shapes sexual health disparities experienced by transgender women. Using data from 396 transgender women with negative or unknown HIV status, we performed exploratory factor analysis on responses to gender identity and sexual behavior stigma items and regressed sexual health outcomes on extracted factors via modified Poisson regression with robust variance estimation. Overall, 97.2% of participants endorsed ≥ 1 gender identity stigma; 67.2% endorsed ≥ 1 sexual behavior stigma; and 66.9% endorsed ≥ 1 of each. Extracted factors included gender-identity social stigma, reflecting experiences related to family, fearfulness in public, and verbal harassment (α = 0.68); gender-identity institutional stigma/violence, reflecting experiences related to healthcare, police interactions, and interpersonal violence (α = 0.73); and global sexual behavior stigma, reflecting experiences related to family, friends, and healthcare, as well as police interactions, fearfulness in public, verbal harassment,and interpersonal violence (α = 0.83). Gender-identity social stigma was significantly, positively associated with testing for HIV and testing for sexually transmitted infections. Gender-identity institutional stigma/violence and global sexual behavior stigma were both significantly, positively associated with condomless anal sex, sex work, testing for HIV, testing for sexually transmitted infections, and use of HIV pre-exposure prophylaxis. Stigma-mitigation remains critical to improve quality of life and sexual health for transgender women in the United States.

Integration Experiences of Francophone Newcomer Students in English Provinces: A Literature Review

This literature review explores the integration experiences of francophone newcomer students in anglophone provinces in Canada. It outlines scholarly findings regarding factors that impact the integration of newcomer students into French public-school systems in predominantly English provinces. We identified two themes related to the integration of francophone newcomer students, including (1) school integration experiences, and (2) out-of-school integration experiences. With respect to school integration, three sub-themes were developed: (a) educational and cultural gaps, (b) language diversity, plurilingualism, and identity, and (c) multiple marginalization of newcomers. Some of the factors that were found to affect integration include: differences between pre- and post-immigration educational contexts, English language proficiency, and (mis)recognition of the diversity within the francophone population. Following the review, gaps in the literature are identified, avenues for future research are proposed, and implications for school psychology are discussed.

UnifiedFace: A Uniform Margin Loss Function for Face Recognition

Face recognition has achieved great success due to the development of deep convolutional neural networks (DCNNs) and loss functions based on margin. However, complex DCNNs bring a large number of parameters as well as computational effort, which pose a significant challenge to resource-constrained embedded devices. Meanwhile, the popular margin-based loss functions all introduce only one type of margin and cannot further introduce a larger margin to achieve tighter classification boundary. In contrast to the common approach, we believe that additive and multiplicative margins should be used jointly to introduce larger margins from the margin perspective. Therefore, we propose a new margin-based loss function called UnifiedFace. First, we introduce an additive margin in the target angle activation function. Second, we add a multiplicative margin in the non-target angle. UnifiedFace introduces both additive and multiplicative margins, allowing for the introduction of large margins to achieve more compact intra-class variance and closer separated inter-class variance. In addition, we specifically design efficient face recognition models called GhostFaceNet for resource-constrained embedded devices. Experimental results demonstrate that UnifiedFace achieves state-of-the-art performance or performance competed with popular methods in training datasets of different sizes. UnifiedFace achieves optimal performance in models of varying complexity. Moreover, competitive results are achieved in the large-scale test set IJBB/C, especially the state-of-the-art performance achieved in TAR (FAR=1e−6). GhostFaceNet can significantly improve operational efficiency without significantly degrading recognition performance, making it ideal for embedded devices with limited resources.