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The purpose of this study is to explore how the South African government has used accounting technologies to manage the pervasive issue of racial inequality.

Premised on Foucault’s notion of governmentality, we conducted a qualitative case study. Publicly available archival data are used to determine the extent to which accounting techniques have helped to shape policy responses to racial inequality.

We show that accounting techniques and calculations give visibility to the problems of government and help design a programme to solve racial inequality. The lived experiences and impacts of racism in the workplace have been problematised, turned into statistics, and used to rationalise the need for ongoing government intervention in solving the problem. These processes underpin the development of the scorecard system, which measures the contributions firms have made towards minimising racial inequalities.

This study augments the existing body of Foucauldian literature by illustrating how power dynamics can be counteracted. We show that in governmental processes, accounting can exhibit a dual role, and these roles are not always subordinate to the analysis of political realities. The case of B-BBEE reveals the unintended consequences of utilising accounting to control the conduct of individuals or groups.

Body weight has a long history of functioning as a symbol of one’s beauty, social status, morality, discipline, and health. It has also been a standard inflicted much more intensely on women than men. While US culture has long idealized thinness for women, even at risky extremes, there is growing evidence that weight standards are broadening. Larger bodies are becoming more visible and accepted, while desire for and approval of a thin ideal has diminished. However, the continued widespread prevalence of anti-fat attitudes and stigma leaves uncertainty about just how much weight standards are changing. This study used an online survey (n = 320) to directly compare evaluations of thin, fat, and average size women through measures of negative stereotypes, prejudicial attitudes, and perceptions about quality of life. Results indicated that, as hypothesized, thin women were perceived less favorably than average weight women. However, fat women were perceived less favorably than both average and thin women. Men were harsher than women in their evaluations of only fat women. Additionally, participants being underweight or overweight did not produce an ingroup bias in their evaluations of underweight and overweight targets, respectively. That is, participants did not rate their own group more favorably, with the exception of overweight participants having lower prejudice toward overweight targets. These findings add to the emerging evidence that women’s weight standards are in transition, marked by an increasingly negative perception of thin women, though not necessarily growing positivity toward fat women. This evidence further points toward the need for more extensive research on attitudes of people across the entire weight spectrum.

Fairy tales were first transmitted orally to teach the community to adapt and engage with their surroundings (Zipes, 1987, p. 1). Nonetheless, they have also contributed to reproduce traditional gender roles and stereotypes (Meland, 2020, p. 912). Indeed, they encourage ‘females to become passive self-denying, obedient, and self-sacrificial’, and males to ‘be competitive, authoritarian, and power-hungry as well as rational, abstract, and principled’ (Zipes, 1987, p. 3). Likewise, Western fairy tales are characterised by a racial dichotomy manifested through the uses of colour: purity is usually associated with white, while black is related to death. This binary opposition suggests that ‘[w]hiteness is often the invisible, privileged state, whereas any other skin colour is marked and laden with ideological judgments’ (Jorgensen, 2013, p. 56).

Carnival Row (2019–2023) is a neo-Victorian TV series created for Amazon Studios that rewrites Western fairy tales through the lens of postcolonial and gender studies. It is set in a fantastically reimagined Victorian England, where mythological creatures – e.g. fairies or centaurs – are allegorical representations of the ethnic Other. The male protagonist of this series, Philo, is a ‘half-breed’ – half human, half fairy – who passes as human to avoid racial discrimination. However, he evolves from being a male character who rejects his ethnic identity to a heroic figure who eventually embraces his racial origins at the end of Season 1. As I demonstrate in this chapter, Philo's nuanced development arguably subverts traditional depictions of white male heroes in fairy-tale narratives, where they tend to be portrayed as strong, principled and non-complex characters.

The purpose of this paper is to explore this process through reviewing key reports and literature through an Indigenous standpoint lens. We identify three key challenges facing the Yoorrook Commission in its journey. First, the continued resistance of influential sections of the Australian community to look backwards and accept responsibility for the violence of the colonial project. Second, the trauma facing those who speak out and remember and the real danger of expectations dashed. Third, the continuance of the colonial pandemic and underlying and invisible racism that infects and poisons all Australians.

This paper has drawn on key literature and secondary data through an Indigenous Lens.

We identify three challenges facing Yoorrook. First, the resistance of influential sections of the Australian community to accept responsibility for the violence of the colonial project. Second, the trauma facing those who speak out and remember and the danger of expectations dashed. Third, the continuance of underlying and invisible racism that infects and poisons the hearts and minds of non-Indigenous Australia. Despite these challenges we argue that the ability of Yoorrook to capture the lived experience of First Peoples in Victoria and the ability to hold key government officials to account presents a unique opportunity to advance the self determination of all First Peoples in Australia.

This is the first Treaty in Victoria and there has been no study of it before.

Visual feedback control is a promising solution for robots work in unstructured environments, and this is accomplished by estimation of the time derivative relationship between the image features and the robot moving. While some of the drawbacks associated with most visual servoing (VS) approaches include the vision–motor mapping computation and the robots’ dynamic performance, the problem of designing optimal and more effective VS systems still remains challenging. Thus, the purpose of this paper is to propose and evaluate the VS method for robots in an unstructured environment.

This paper presents a new model-free VS control of a robotic manipulator, for which an adaptive estimator aid by network learning is proposed using online estimation of the vision–motor mapping relationship in an environment without the knowledge of statistical noise. Based on the adaptive estimator, a model-free VS schema was constructed by introducing an active disturbance rejection control (ADRC). In our schema, the VS system was designed independently of the robot kinematic model.

The various simulations and experiments were conducted to verify the proposed approach by using an eye-in-hand robot manipulator without calibration and vision depth information, which can improve the autonomous maneuverability of the robot and also allow the robot to adapt its motion according to the image feature changes in real time. In the current method, the image feature trajectory was stable in the camera field range, and the robot’s end motion trajectory did not exhibit shock retreat. The results showed that the steady-state errors of image features was within 19.74 pixels, the robot positioning was stable within 1.53 mm and 0.0373 rad and the convergence rate of the control system was less than 7.21 s in real grasping tasks.

Compared with traditional Kalman filtering for image-based VS and position-based VS methods, this paper adopts the model-free VS method based on the adaptive mapping estimator combination with the ADRC controller, which is effective for improving the dynamic performance of robot systems. The proposed model-free VS schema is suitable for robots’ grasping manipulation in unstructured environments.

Through the tracer fiber method, we strive to more accurately obtain the hook degree, straightening degree, percentage and other characteristic indexes. In order to intuitively represent the hook state from sliver to yarn, and feed back production information in combination with quality test.

Taking the cotton fiber as an example, the hooked fibers were studied by using the tracer fiber method. Tracer fibers were made from cotton-type viscose fibers. Tracer fibers and combed cotton fibers were uniformly mixed for many times and used to produce the card sliver, semi-drawn sliver, drawn sliver, roving and yarn. With the help of ZF-20D ultraviolet analyzer, geometric parameters of hooked fibers were measured, and characterization indexes were calculated. And hook indexes and quality indexes were compared.

By redefining and reclassifying hooked fibers, the change of hooked fibers in the process was tracked and characterized carefully. Some hooks in card sliver are straightened but not eliminated, and will form longer zero-angled hooks in the subsequent process. The straightening degree and number of zero-angled hooks affect the evenness CV mainly.

The characterization of hooked fibers is important for reducing hooked fibers and spinning high quality yarns. There is no uniform standard for the characterization of hooked fibers at present. Most studies are about relationship between process and hook in carding and drawing. There is no research on hooked fibers in the whole spinning process. In the paper, hooked fibers were redefined and reclassified, the change of hooked fibers in the process was tracked and characterized carefully.

The prevalence of independent contractors in the US workforce is growing. This research examines the social environment and career outcomes of labor and employment arbitrators, a unique profession of high-skilled and high-status independent contractors who play a significant role in facilitating organizational justice. Previous research has focused on the employment relationships that independent contractors have with hiring organizations and the characteristics of individuals who become independent contractors; however, little attention has been given to how relational factors influence the career outcomes of high-skilled independent contractors or how such influences differ by gender. Building upon theories of social networks and unequal network returns (UNR), our study investigates the informal social relationships among arbitrators, the association between interpersonal relationship patterns and arbitrators’ career success, and how these associations vary based on gender.

A social network survey is used to collect the social networks, attitudes and fee information of 407 labor and employment arbitrators working in North America. A multi-level regression analysis was used to examine the proposed relationships among social networks, gender and career outcomes of the arbitrators.

We discovered that occupying a central position within advice networks is positively associated with occupational satisfaction. On the other hand, having strong ties is associated with achieving high employment arbitration fees. Notably, we found that the advantages of strong ties for arbitration fees are comparatively weak for female arbitrators relative to their male counterparts.

This research examines the relationship between social networks and career outcomes for independent contractors in the unique context of arbitrators. It further highlights inequalities experienced by female arbitrators in a male-dominated profession where their social networks offer fewer rewards relative to their male counterparts.

This paper focuses on First Peoples Founders of for-profit entities in Australia and the role of the Indigenous Economic Development Agencies (IEDAs). We explore the challenges facing First Peoples enterprises, influenced by historical exclusion from white settler society, and the practices of the IEDAs from the perspectives of Founders and agencies.

A qualitative study utilising Indigenous Standpoint Theory and Indigenous research methods, elevating Founder perspectives, in the Yaruwu language - the Nilangany Ngarrungunil, owners of knowledge, to that of research collaborators.

The First Peoples economic landscape is continually evolving with IEDAs contributing to that evolution despite contentious identity ownership definitions. Founders secure in their own identity, are focused on self-determination and opportunities provided by IEDAs, government and corporate sector policies. However, opportunities are undermined by ongoing racism, discrimination and prevailing stereotypes leading to homogeneity, invisibility and exclusion. Founders question organisational commitments to overcoming systemic exclusion in particular their commitment to building respectful relationships and understanding First Peoples ways of working. Instead, Founders focus on building a sustainable First Peoples economic ecosystem through relationship-based practices rather than transactional reconciliation which ignores the reality of the lived experience of everyday racism.

This study extends the scholarly discourse on First Peoples for-profit enterprise success written with an Indigenous voice. We demonstrate how this Founder generation are strengthened by culture with identity infused in organisational practices underpinning their aspirations of economic self-determination.