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Contributions to this volume showcase the current state of gender research as it relates to the embodiment and representation of beauty. In particular, the authors highlight a more open-ended concept of beauty that goes beyond esthetics. The authors call our attention to the fact that beauty definitions and standards in any given society closely reflect the distribution of power in it. For this purpose, the authors in this volume share findings of research and conducted in multiple sites in the United States (i.e., Southern California, the Midwest, the Northwest, New York City, Salt Lake City, Houston, Boston, and Washington, DC), El Salvador, and the Dominican Republic. Contributors also use a variety of qualitative and quantitative methodologies to expand notions of beauty and its embodiment across diverse areas and experiences. The authors ask and invite us to ask ourselves how race, class, disability, gender identity or sexual orientation, and other dimensions of inequality inform our definitions of what beauty is and is not. They exhort us to interrogate who defines who and what is beautiful and why. Finally, rather than being problem-oriented, the premise of each study is to effect collective change in the ways we construe, see, represent, and embody beauty.

Purpose – Integrating a gender perspective with a world-system theory, we examine how the recent global economic crisis in China has differential impact on female and male migrant workers. We analyzes how this gendered impact is compounded by intersectionality that results in multiple inequalities shaping their work, identity, power relationship, agency, and family lives.

Method – Our analyses were primarily drawn from 14 surveys of major provinces with higher migration rates, and were supplemented by personal narratives and interviews of migrant workers.

Findings – The political-economic analysis of the world-system demonstrates how the intricate linkages among declines in trade, finance, and production led to the economic crisis in China, with more detrimental effects on women migrant workers than their male counterparts. The intersectionality of gender, class, age/generation, and regional differences has played out in the state-regulated process of migration, configuring and reconfiguring the organization of capital, labor, and production and determining unequal gender relations, class dynamics, citizenship, employment, and family life. Conditioned by complex inequalities, some affected migrant workers, far from being victimized, have demonstrated agency, resilience, and a spirit of resistance.

Research and practical implications – More disaggregated data by gender are needed to understand the full range of differential crisis effects on diverse women and men workers.

Originality/value of the study – This study suggests the importance of considering gender-sensitive policies and a gender mainstreaming approach to addressing gender inequality and improving migrant workers’ lives for their empowerment.

In this chapter, the authors analyze current pre-service teachers’ reflections on the journals written by teachers from the nineteenth century and early twentieth century. They explore what the interchange reveals about pre-service teachers’ conceptions of teaching and the learning-to-teach process. The analysis focuses on the commonalities and differences between these groups of teachers. Findings are presented in a readers’ theater format in which recurring themes and meaning-making are expressed by voices from the past and by those who would be teachers.

Copula modeling enables the analysis of multivariate count data that has previously required imposition of potentially undesirable correlation restrictions or has limited attention to models with only a few outcomes. This article presents a method for analyzing correlated counts that is appealing because it retains well-known marginal distributions for each response while simultaneously allowing for flexible correlations among the outcomes. The proposed framework extends the applicability of the method to settings with high-dimensional outcomes and provides an efficient simulation method to generate the correlation matrix in a single step. Another open problem that is tackled is that of model comparison. In particular, the article presents techniques for estimating marginal likelihoods and Bayes factors in copula models. The methodology is implemented in a study of the joint behavior of four categories of US technology patents. The results reveal that patent counts exhibit high levels of correlation among categories and that joint modeling is crucial for eliciting the interactions among these variables.

A major stumbling block in multivariate discrete data analysis is the problem of evaluating the outcome probabilities that enter the likelihood function. Calculation of these probabilities involves high-dimensional integration, making simulation methods indispensable in both Bayesian and frequentist estimation and model choice. We review several existing probability estimators and then show that a broader perspective on the simulation problem can be afforded by interpreting the outcome probabilities through Bayes’ theorem, leading to the recognition that estimation can alternatively be handled by methods for marginal likelihood computation based on the output of Markov chain Monte Carlo (MCMC) algorithms. These techniques offer stand-alone approaches to simulated likelihood estimation but can also be integrated with traditional estimators. Building on both branches in the literature, we develop new methods for estimating response probabilities and propose an adaptive sampler for producing high-quality draws from multivariate truncated normal distributions. A simulation study illustrates the practical benefits and costs associated with each approach. The methods are employed to estimate the likelihood function of a correlated random effects panel data model of women's labor force participation.

One of the most neglected sources of energy loss is streetlights that generate too much light in areas where it is not required. Energy waste has enormous economic and environmental effects. In addition, due to the conventional manual nature of operation, streetlights are frequently seen being turned ‘ON’ during the day and ‘OFF’ in the evening, which is regrettable even in the twenty-first century. These issues require automated streetlight control in order to be resolved. This study aims to develop a novel streetlight controlling method by combining a smart transport monitoring system powered by computer vision technology with a closed circuit television (CCTV) camera that allows the light-emitting diode (LED) streetlight to automatically light up with the appropriate brightness by detecting the presence of pedestrians or vehicles and dimming the streetlight in their absence using semantic image segmentation from the CCTV video streaming. Consequently, our model distinguishes daylight and nighttime, which made it feasible to automate the process of turning the streetlight ‘ON’ and ‘OFF’ to save energy consumption costs. According to the aforementioned approach, geo-location sensor data could be utilised to make more informed streetlight management decisions. To complete the tasks, we consider training the U-net model with ResNet-34 as its backbone. Validity of the models is guaranteed with the use of assessment matrices. The suggested concept is straightforward, economical, energy-efficient, long-lasting and more resilient than conventional alternatives.

Schools are placed in ‘special measures’ in England if they are deemed to be under performing by failing to provide their pupils with an acceptable standard of education. This chapter explores one female headteacher’s emotional experiences as she coped in difficult circumstances during an intense period of scrutiny as she led her staff towards school improvement and out of special measures. The headteacher regulated and utilised her emotions intelligently to deliberately enhance the performance of others at work and in doing so she addressed and changed the localised culture of the school. Data are drawn from a series of interviews with the headteacher and her self-reported responses to an ‘EQ Map’ (Cooper & Sawaf, 1997). Using the EQ Map as the conceptual framework, findings show a sense of work satisfaction emerged as a result of tackling challenging situations. An increased awareness of one’s emotions led to being mindful regarding the emotional state of others, as the headteacher sought opportunities to bring about school improvement and address challenges presented by being placed in special measures. A distinctive list of 21 key features of emotional management emerged from the scales of the EQ Map capturing a model in relation to coping under internal and external pressures.

Purpose – The chapter explores transnational influences, global and local networks and organizations (governmental and nongovernmental), in the development of domestic violence policy in China and England.

Approach – The frameworks of traveling theory (Said, 1984; Min, 2005) and global social policy and international relations approaches to policy transfer such as policy entrepreneurs (Stone, 2001) are used to discuss the different domestic violence policy trajectories in the two countries.

Social implications – It is shown that in China, where activism and policy development concerning domestic violence is relatively recent, global social policy and transnational alliances created via international and global meetings have enabled activists to draw on ideas and policy frameworks from outside the nation-state to develop a specifically Chinese policy agenda. In England, where there is a longer history of debate and policy development regarding domestic violence, global social policy and transnational links have more recently become important to activists and academics wanting to shift policy developments further and to place them within a framework of gendered inequality and human rights.

Findings – The chapter considers action and policy development related to domestic violence, comparing these across the very different contexts of England and China by using the ideas of traveling theory and policy networks. It is shown that use by Chinese of pressure from “within” and “at the margins” of the state has proven effective in challenging and developing domestic violence policy, while in England a combination of pressure from “outside” the state and mainstreaming has enabled activists to develop the policy agenda in positive, if fragile, ways.

Originality/values of chapter – In both China and England, there is evidence of policy entrepreneurs traveling policy ideas into the countries, where they are contested and incorporated. The particular sociopolitical contexts of women's movements and networks influence policy development across the different localities. Within the Chinese context, activists have used pressure from “within” and “at the margins” of the state to effectively challenge and develop domestic violence policy. English activists have instead used pressure from “outside” the state to develop and shape domestic violence policy in England.

This chapter focused on presenting the result of the Delphi study from the questionnaire distributed to the experts. The Delphi technique was used for modelling the construction supply chain management (CSCM) practice in the fourth industrial revolution (4IR) era. The technique was also used to predict the supply chain management's (SCM) possible trends in the construction industry. A total of 15 experts were selected for this study based on their working experience. The Delphi study also validated the gaps (organisational culture and 4IR component) identified from the existing CSCM model. The findings from the Delphi study revealed that organisational culture has a significant impact on the practice of CSCM in the 4IR era. Regarding adopting the 4IR component for the CSCM in Nigeria, the Delphi study revealed that smart management and virtualisation are the most adopted. Unfortunately, the cyber-physical system, the heartbeat of the 4IR, is yet to be fully implemented for CSCM practice in the Nigerian construction industry.