Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
In 2017, in Ivey v. Genting Casinos, the Supreme Court judged that the dishonesty test is objective and should be the single one in use for any area of law. The judgment sparked some criticism regarding the inflexibility of an objective test. The subsequent 2020 Court of Appeal judgment in R. v. Barton confirmed the objective test in Ivey. However, little dedicated discussion and analysis of the dishonesty test has subsequently taken place, leaving a growing concern that the one currently in use may not be suitable for determining dishonesty in all contexts. This interdisciplinary collection challenges the idea of the single objective test by considering the issue of context in defining dishonesty. The volume is divided into three parts. The first focuses on the analysis of the concept of dishonesty and the dishonesty test, both in relation to context and its impact in determining whether or not liability arises. In the second part, the focus is on contexts of public and private dealings where dishonesty can be the reason to place liability or where its implications should be modified in order to limit liability. Finally, in the third part, the focus is on the context of healthcare practice and its interface with the conceptual dichotomy of honesty/dishonesty. The conclusion draws together shared themes, notably the issues of fairness and justice that arise from the work to demonstrate the definitional vacuum in the law on dishonesty. The book will be of interest to academics, researchers, policy-makers, and regulators working in law, ethics, or areas of professional regulation and misconduct, especially medicine, nursing, student academic misconduct, and politics. Similarly, there will be appeal to those working in relevant professional regulatory areas, such as law, healthcare, and sports governance.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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