Search results

This chapter on anti-racism struggles applies an anti-racist activist framing, both critically examining and recognising the milestones achieved through centuries of pro-justice and anti-racism struggles. It delves into the arduous journey that the global fight for racial equity has undergone and highlights the significant progress as well as setbacks experienced during this lengthy struggle. The earliest history of the fight against racial oppression and domination goes back to anti-slavery and anti-colonial movements. Scholars have analysed the emergence, development and state of global anti-racism struggles in a variety of ways. I approach this subject from a sociological perspective, highlighting the role of social structures, groups and institutions that have contributed to shaping the outcomes of anti-racist initiatives. While recognising the role of individuals and leading political activists, this chapter emphasises anti-racism as a collective social justice struggle. To do this, I explore various local and global anti-racism endeavours and examine how they may influence discussions on race, racism and racial equity and their evolving trajectories across different societies.

Although special education was built upon the foundation of the Civil Rights Act of 1964, the discrimination that many racialized students receiving special education services experience cannot be denied. Many culturally, ethnically, and linguistically diverse students receiving special education services encounter labels that perpetuate racism and ableism and lead to inequitable access to services and resources necessary for more positive postsecondary outcomes. By honoring intersectionality and dismantling the singular identity, educators can become change agents and shift the historic oppressive narrative to create a system of empowerment as these individuals transition from transitional kindergarten to age 21 special education programs (TK-21) schools into adulthood.

Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to examine how the algorithmic management of online car-hailing platforms affects drivers' work engagement.

Drawing on the transactional theory of stress, the authors examined the effects of algorithmic monitoring and fairness on online car-hailing drivers' work engagement and revealed the mediation effects of challenge-hindrance appraisals. Based on survey data collected from 364 drivers, the authors' hypotheses were examined using partial least squares structural equation modeling (PLS-SEM). The authors also applied path comparison analyses to further compare the effects of algorithmic monitoring and fairness on the two types of appraisals.

This study finds that online car-hailing drivers' challenge-hindrance appraisals mediate the relationship between algorithmic management characteristics and work engagement. Algorithmic monitoring positively affects both challenge and hindrance appraisals in online car-hailing drivers. However, algorithmic fairness promotes challenge appraisal and reduces hindrance appraisal. Consequently, challenge and hindrance appraisals lead to higher and lower work engagement, respectively. Further, the additional path comparison analysis showed that the hindering effect of algorithmic monitoring exceeds its challenging effect, and the challenge-promoting effect of algorithmic fairness is greater than the algorithm's hindrance-reducing effect.

This paper reveals the underlying mechanisms concerning how algorithmic monitoring and fairness affect online car-hailing drivers' work engagement and fills the gap in the research on algorithmic management in the context of online car-hailing platforms. The authors' findings also provide practical guidance for online car-hailing platforms on how to improve the platforms' algorithmic management systems.

This paper aims to explore the intricate relationship between social capital, faith and prison-leaver resettlement, emphasising how penal voluntary sector organisations (PVSOs) aid prison-leavers in their resettlement and desistance journeys, following incarceration.

Employing a combination of narrative and thematic analysis, data was collected from 20 prison-leavers in England through semi-structured interviews. Purposive and snowball sampling was used to recruit participants from various community-based resettlement settings.

Thematic analysis revealed the emergence of faith in various iterations in facilitating desistance, Transforming Rehabilitation failure, identity transformation of the prison-leaver, the role of social capital in effective resettlement and the importance of PVSOs. In particular, the findings demonstrate the vital role of a “Faith Anchor”, defined in this paper as a trust-based relationship with an individual or spiritual entity, in facilitating desistance. This paper argues the need to recognise and fully integrate social capital building, faith and specialised support from PVSOs, as essential components of successful offender resettlement and desistance journeys.

The study considers the connection between faith, social capital and offender resettlement. Although demonstrating the role of faith in positive change and community engagement, there are limitations. Primarily, by exclusively recruiting participants through PVSOs, it might overlook varied resettlement experiences. Additionally, measuring desistance is complex and is limited by some academic views that it centres around abstinence. Although small-scale saturation was reached; generalisation should be approached with caution. Notably, post-Transforming Rehabilitation, the human cost of resettlement gaps became evident. Future research could benefit from a longitudinal lens, tracing desistance beyond initial PVSO interactions and offering richer, longitudinal insights.

Significance of “faith anchors”: A “faith anchor” aids the desistance process. Integrating faith in resettlement offers emotional support for prison leavers. Value of social capital: It is pivotal for offender resettlement. Positive social networks are key for successful reintegration. Role of PVSOs: They provide vital resettlement support. Enhanced collaboration can optimise assistance for prison leavers. Addressing current system shortcomings: Rectifying the effects of Transforming Rehabilitation ensures holistic support, catering to prison leavers’ needs. Concept of “faith exchange”: Merging faith and support offers tailored resettlement approaches, fostering effective reintegration.

The study underscores the social implications of effective offender resettlement strategies. The integration of “faith anchors” and social capital aids in the personal rehabilitation of prison leavers and also supports community cohesion. By acknowledging faith as indictive to building trust-based relationships, communities can reduce the stigma associated with former offenders, promoting inclusivity and understanding. Additionally, the essential role of PVSOs highlights the value of community-driven initiatives in supporting reintegration. A combined approach that combines faith, social capital and community support can reshape societal perspectives on desistance, encouraging a more inclusive and empathetic approach to offender reintegration.

The insights gained contribute to the evolving discourse on prison-leaver resettlement and desistance and uniquely highlight the potential of a combined approach between social capital, faith and voluntary sector support, in achieving desistance goals. The term “faith exchange” emerges from this study as an original conceptual contribution, accentuating the relationship between faith and support in resettlement and desistance.

This study aims to provide a comprehensive bibliometric analysis of social exclusion research, examining its evolution and identifying emerging trends and influential contributions in the field.

Using bibliometric and thematic analysis of 3,041 Scopus database documents, the study uses tools like VOSviewer for network analysis and Biblioshiny for trend analysis, focusing on publication patterns, author contributions and thematic clusters.

The findings reveal significant growth in social exclusion research since 1979, highlighting key contributions from diverse academic fields. Notable trends include the rise of digital exclusion and environmental justice themes. The study identifies leading authors, institutions and countries contributing to this field, along with highly cited documents that have shaped the discourse on social exclusion.

The study acknowledges its reliance on Scopus data and suggests incorporating other databases for future research. It highlights the need to explore emerging topics and address literature gaps.

This paper presents a unique bibliometric perspective on social exclusion research, underscoring its interdisciplinary nature and evolving focus. The study’s comprehensive approach offers valuable insights into the field’s trajectory, contributing to a deeper understanding of social exclusion phenomena.

This paper aims to center the experiences of three cohorts (n = 40) of Black high school students who participated in a critical race technology course that exposed anti-blackness as the organizing logic and default setting of digital and artificially intelligent technology. This paper centers the voices, experiences and technological innovations of the students, and in doing so, introduces a new type of digital literacy: critical race algorithmic literacy.

Data for this study include student interviews (called “talk backs”), journal reflections and final technology presentations.

Broadly, the data suggests that critical race algorithmic literacies prepare Black students to critically read the algorithmic word (e.g. data, code, machine learning models, etc.) so that they can not only resist and survive, but also rebuild and reimagine the algorithmic world.

While critical race media literacy draws upon critical race theory in education – a theorization of race, and a critique of white supremacy and multiculturalism in schools – critical race algorithmic literacy is rooted in critical race technology theory, which is a theorization of blackness as a technology and a critique of algorithmic anti-blackness as the organizing logic of schools and AI systems.

This article provides an overviews of the concept of racelighting. Racelighting is “is an act of psychological manipulation where Black, Indigenous, and People of Color (BIPOC) receive racial messages that lead them to second-guess their lived experiences with racism”

This conceptual paper articulates four primary ways that racelighting manifests in the lives and experiences of Black, Indigenous and People of Color (BIPOC).

There are four common messages that often lead to racelighting: stereotype advancement, resistive actions, inauthentic allyship and misrepresenting the past.

While much has been written about gaslighting, few frameworks articulate how gaslighting occurs in a racialized context.

Across the USA, local municipalities and providers struggle to reliably supply water and electricity when faced with severe weather events induced by climate change. Previous research suggests those at higher risk for experiencing the detrimental effects of climate change have higher climate-related concerns. Additionally, research demonstrates variation in trust in institutions and perceptions of environmental justice along racial lines, which can influence concern for access to resources. Informed by this research, the authors ask two questions: how do Oklahomans’ trust in institutions, environmental justice perceptions and global climate change risk perceptions differ based on race, and how do these factors influence concern for water and electrical infrastructure? The purpose of this study is to better understand Oklahomans’ trust in information from institutions, environmental justice perceptions, global climate change risk perceptions and concern for water and electrical infrastructure.

This study uses a series of nested regression models to analyze the survey responses of 2,687 Oklahoman adults. The data were pulled from Wave 3 of the Oklahoma Meso-scale Integrated Socio-geographic Network survey, which is part of the National Science Foundation EPSCoR S3OK project.

The findings demonstrate the complex interplay of riskscapes – or risk landscapes – that encompass institutional trust, perceptions of environmental justice, climate change and infrastructure in Oklahoma. The authors find evidence that education and income are better predictors of institutional trust and environmental justice than race among our respondents. Political ideology emerges as a significant predictor across all hypotheses.

This study contributes to the understanding of complex dynamics involving race, perceptions of environmental justice, trust in information from institutions, risk perceptions of climate change and concerns for water and electrical infrastructure in Oklahoma.