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Due to ongoing inequities in the social determinants of health and systemic barriers, homelessness continues to be a significant concern that disproportionately impacts racialized communities. Despite constituting a small proportion of the population, Black individuals are over-represented among people experiencing homelessness in many Canadian cities. However, although Black homelessness in Canada is a pressing issue, it has received limited attention in the academic literature. The purpose of this paper is to examine the reported prevalence of Black homelessness across Canada.

By consulting enumerations from 61 designated communities that participated in the 2018 Nationally Coordinated Point-in-Time Count and two regional repositories – one for homeless counts supported by the government of British Columbia and another from the Rural Development Network – this paper reports on the scale and scope of Black homelessness across Canada.

Significantly, these reports demonstrate that Black people are over-represented among those experiencing homelessness compared to local and national populations. These enumerations also demonstrate significant gaps in the reporting of Black homelessness and inadequate nuance in data collection methods, which limit the ability of respondents to describe their identity beyond “Black.”

This research provides an unprecedented examination of Black homelessness across Canada and concludes with recommendations to expand knowledge on this important and under-researched issue, provide suggestions for future iterations of homeless enumerations and facilitate the development of inclusive housing policy.

The herstory of Black women in South Africa is one of sexualised forms of political, physical and psychological violence. A herstory of violence, oppression, exploitation, victimisation, imprisonment and police brutality. The apartheid government used violence to control women, their bodies, their religious and spiritual experiences. The feeling of disregard for African women is echoed in an interview with Mhlophe, a South African author, playwright and actress, when she talks about the Battle of Blood River and emphasises how there is no mention of women. ‘Did those men have no sisters, no mothers who helped them? Our history is very unbalanced’ (August, 1990, p. 332).

Course evaluations are formative and are used to evaluate learnings of the students for a course. Anomalies in the evaluation process can lead to a faulty educational outcome. Learning analytics and educational data mining provide a set of techniques that can be conveniently applied to extensive data collected as part of the evaluation process to ensure remedial actions. This study aims to conduct an experimental research to detect anomalies in the evaluation methods.

Experimental research is conducted with scientific approach and design. The researchers categorized anomaly into three categories, namely, an anomaly in criteria assessment, subject anomaly and anomaly in subject marks allocation. The different anomaly detection algorithms are used to educate data through the software R, and the results are summarized in the tables.

The data points occurring in all algorithms are finally detected as an anomaly. The anomaly identifies the data points that deviate from the data set’s normal behavior. The subject which is consistently identified as anomalous by the different techniques is marked as an anomaly in evaluation. After identification, one can drill down to more details into the title of anomalies in the evaluation criteria.

This paper proposes an analytical model for the course evaluation process and demonstrates the use of actionable analytics to detect anomalies in the evaluation process.

Reverse logistics (RL) has become integral in modern supply chains, with many companies investing in circular economy (CE), a recuperative and effective industrial economy. The traditional linear model triggered many negative environmental consequences such as climate change, ocean pollution, loss of biodiversity and land degradation. The development of RL strategies that support the transition between RL to CE is crucial. The purpose of this paper is to connect RL with CE in the context of Industry 4.0 and develop a hierarchal structure to explore the relationship between RL and CE critical success factors in the context of Industry 4.0.

This study used both qualitative and quantitative approach. Literature review in collaboration with the Delphi method is used to identify and validate critical success factors. Then, the ISM-based model and MICMAC method were used to determine the relationship between CE and RL success factors and its driving and dependence power.

This study result shows that waste reduction, skilled employees and expert's involvement and top management commitment and support will provide guidelines and paths for implementing CE and RL, leading to the competitiveness of a firm.

The findings provide managerial insight, particularly useful to third-party logistics companies' managers who are looking to implement RL and CE, to help prioritize where to invest company resources to generate prime difference. Furthermore, this study also identified Industry 4.0 technologies, which would tackle top identified critical success factors within the hierarchical model such as block chain and digital platforms.

This paper contributes to the literature by exploring the connection between RL and CE in the context of Industry 4.0 that determines the critical success factors enabling sustainable inter-firm collaboration.