: Introduction There are several ways of conceiving heritage conservation. For the purpose of this paper, we need to start from the premise that what we call “heritage” is a dynamic, evolving reality, and that a historic district such as “Old Québec” can undergo structuring transformations rooted in a process of heritage conservation. In Old Québec, the process of conservation —also referred to “patrimonialization”—has not received the attention it deserves. This paper aims to shed light on the process of functional requalification has undergone by Old Québec since the 1950s, within the broader context of its transformation into a historic district. It is based on discourse analysis (Berthold, 2013), supported by a diversifie body of documentation, including primary sources, such as archival documents, press reviews, geospatial and land-use data, and official reports. It is complemented by a body of scholarly literature devoted to Old Québec since the 1970s. First, we explain the sociohistorical process that l[...]
: This article belongs to the debate » Thinking Machines, Thinking Lawyers14 October 2026The (Currently) Uneven Intelligence of AI in Comparative Constitutional Law From Years of Research to a Single Prompt? Artificial intelligence (AI) has the potential to accelerate and improve the quality of research. This potential has inspired numerous projects exploring how AI could help scholarship on constitutional law. For example, there is research using AI to interpret constitutions,1) apply constitutional principles,2) and predict court rulings.3) Even the question of whether AI could improve the process of constitution-making has been studied.4) AI’s potential is particularly significant for comparative constitutional research. Systematically comparing legal systems requires locating sources from different jurisdictions, which are often difficult to access and only available in local languages. The creation of comparative legal datasets has thus involved considerable personnel, time, and financial resources. AI ca[...]
: FTC challenges Online Trading Academy’s money-making claims lfair February 12, 2020 | 4:35PM FTC challenges Online Trading Academy’s money-making claims By Lesley Fair Ads for health products often target Boomer Consumers, but those aren’t the only claims pitched to people looking toward retirement. An FTC action alleges a company called Online Trading Academy has taken in more than $370 million by gearing its deceptive representations to that demographic. In addition, the complaint alleges violations of the Consumer Review Fairness Act. According to the FTC, the California-based operation, related companies, and three individual defendants advertise a “patented strategy” that consumers can apply “to any asset class including stocks, options, futures and currencies” to rake in big money. They claim their “training programs” – with price tags as high as $50,000 – will teach consumers how to “invest like the pros on Wall Street.” ”No matter your experience and goals,” people were told the defendants’ “proven” [...]