Yorkville University is a private for-profit university established in 2003 in New Brunswick, Canada. The university accepted its first students in the fall of 2004 for the programs offered out of Fredericton, New Brunswick, which was at the time the only establishment under Yorkville University. The university has since launched a brick-and-mortar campus in Vancouver, British Columbia. and acquired 2 brick-and-mortar campuses in Toronto, Ontario. In 2018 Yorkville acquired the RCC Institute of Technology. This included 3 schools - Academy of Design, School of Engineering Technology & Computing and the Toronto Film School.
Predicting relative risk (RR) of spatial clusters is a complex task in public health that can be achieved through various statistical and machine-learning methods for different time intervals. However, high-resolution longitudinal data is often unavailable to successfully apply such methods. The goal of the present study is to further develop and test a new methodology proposed in our previous work for accurate sequential RR predictions in the case of limited longitudinal data. In particular, we first use a well-known likelihood ratio test to identify significant spatial clusters over user-defined time intervals. Then we apply a Markov chain modeling approach to predict RR values for each time interval. Our findings demonstrate that the proposed approach yields better performance with COVID-19 morbidity data compared to the previous study on mortality data. Additionally, increasing the number of time intervals enhances the accuracy of the proposed Markov chain modeling method.
Since we live in a world battling significant environmental sustainability issues, structures within organizations need to change how training is provided to human resources (HRs) that mirror the green ethos of a quality workforce. This chapter focuses on how businesses can integrate sustainability into employee development programs in a bottom-up way to create an upskilled, environmentally minded workforce. The chapter begins with an overview of sustainability from a human resource development (HRD) perspective and the relationship between green HR practices and corporate sustainability. It also examines the necessary skills for sustainability, eco-literacy, circular economy understanding, and green leadership, and identifies the building of the green skills industry by industry. The second part of the chapter covers how to steer sustainability training through modern methods, like e-learning, gamification, and experiential learning. The chapter also covers common challenges organizations encounter, such as resistance to change, lack of buy-in, resource constraints, and strategies for overcoming these hurdles. This ultimately leads to the need to measure sustainability training through key performance indicators (KPIs). This chapter includes real-world examples of MNCs, small- and medium-sized enterprises (SMEs), government, and nonprofit collaborations. Embedding green skills and mindsets into workforce training is about more than brand; organizations that make this investment are better positioned to gain long-term environmental, social, and economic benefits as they build toward global sustainability goals.
This study integrates recent literature with qualitative data from sexual-health outreach workers in the Greater Toronto Area to examine how outreach is delivered to gay, bisexual, transgender, and queer (GBTQ+) men who have sex with men (MSM) in virtual social settings, including social networking applications. Using a symbolic-interactionist framework and reflexive thematic analysis, the study identifies persistent challenges that shape GBTQ+ and MSM users’ engagement with sexual-health services, such as stigma, privacy concerns, and platform-level constraints. Findings highlight mismatches between current outreach practices and community needs in app-based environments and point to opportunities to strengthen the relevance, accessibility, and trustworthiness of digital sexual-health initiatives. The analysis offers practical recommendations for improving service design and delivery in online queer spaces and outlines priorities for future research focused on outreach effectiveness, equity, and user safety.
Reddit has emerged as an accessible, anonymous platform for public discourse surrounding mental illness, yet little research has examined how users perceive and evaluate existing anti-stigma initiatives. This study addresses this gap by analyzing public discourse around destigmatization efforts, including both corporate-led campaigns (i.e., Bell Lets Talk) and broader community-based discussions. We conducted an interpretive content analysis of Reddit posts and comments identified through an a priori search protocol registered on the Only Science Framework. We drew a criterion-based purposive sample from r/mentalhealth and general Reddit using keywords related to anti-stigma discourse (e.g., anti-stigma, destigmatizing, and #BellLetsTalk). Fifty posts met inclusion criteria, yielding 581 coded references. Posts predominantly addressed mental health in general terms rather than specific diagnoses, with public stigma (n=28 posts) and structural stigma (n=16 posts) most discussed; internalized stigma was rarely a primary focus. #BellLetsTalk posts located outside the mental health community generated substantially greater engagement than posts within r/mentalhealth, with several threads exceeding 300 comments. Four themes emerged during the qualitative analysis: (1) anti-stigma efforts are unhelpful (n=381), (2) hopeful sentiments about anti-stigma efforts, (3) the mixed role of media, and (4) future directions for anti-stigma efforts.
Bias-based cyberaggression refers to hurtful online actions that target an individual based on socio-demographic characteristics (e.g., ethnicity or race). Empathy tends to be lower among cyberaggression perpetrators. The study used a mixed-methods design, including questionnaire filling-out, open-text responding, and collaborative online empathy mapping, to explore cyberaggression experiences among racialized youth. Thirteen youths (aged 13 to 25) joined the present study. Participants were mostly heterosexual young men (n = 11) who self-identified as Black (n = 12) and Indigenous (n = 1). Participants resided in Canada (n = 4), the USA (n = 4), Kenya (n = 4), and South Africa (n = 1). Findings from quantitative data suggest that participants perpetrated bias-based cyberaggression behaviors, targeting others’ sexual orientations and gender identities; they were also victims of cyberaggression for their racial identity. Qualitative findings describe targeted cyberaggression, hate speech, and hacking of social media profiles. Peers encourage them to perpetrate cyberaggression and think about how they “[want to] settle the score.” Instead, participants did not respond to hurtful posts. Participants did seek social support to cope with cyberaggression from their siblings, close relatives, and friends. Findings indicate that for research on online wellbeing, it is important to engage diverse youth with lived experience of cyberaggression. The results provide preliminary support for empathy as a potential focus of bias-based cyberaggression prevention and intervention efforts. Future research should explore these relationships in larger, more diverse samples and examine empathy-based interventions to promote safer online environments.
