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Dorothy Payne Bookplate Commissioned by Vernome Julien
https://digital.sandiego.edu/bookplates-artists-payne/1015/thumbnail.jp
Ruth Thomson Saunders Bookplate Commissioned for Pearl Van Siclen Higbie
https://digital.sandiego.edu/bookplates-artists-saunders/1016/thumbnail.jp
Ruth Thomson Saunders Bookplate Commissioned for Ruth Proctor
https://digital.sandiego.edu/bookplates-artists-saunders/1022/thumbnail.jp
Ruth Thomson Saunders Bookplate Commissioned for Clare Ryan Talbot
https://digital.sandiego.edu/bookplates-artists-saunders/1027/thumbnail.jp
Revitalizing the Right
Debating the nature of conservatism may well be the favorite hobby of American conservatives. While the question will never be resolved to anyone’s satisfaction, it is a pleasant enough pastime to detract from the failures of the American conservative movement to conserve much anything of worth (unless you count the movement itself, in all its sinecurial grifting splendor, as something of worth)
Conservatives Divide on Matters of Principle
The conservative phenomenon in the United States in the years since the Second World War has entailed—I hesitate to say “embraced”—a variety of diverging views, preoccupations, and commitments, some of them at least in tension with, if not actually opposed to, one another. This has been true for conservative writers, thinkers, and publicists; it has also been true for America’s conservative voting constituencies. For many decades, conservatives were often said to be subdivided between traditionalists and libertarians. There were (and are) diverging tendencies even among the traditionalists: these tendencies can be religious or secular, with styles and emphases that diverge even between various Christian and Jewish religious denominations; and then there were southern agrarians; or Russell Kirk-like Burkeans; Taft-like semi-isolationists, or anti-Communist interventionists —these were (and are) just a few of the possibilities. There were even (and may still be) rare sightings of quasi-European throne-and-altar conservatism: ironic or perhaps not-entirely-ironic salutes to Charles the First, King and Martyr, from the Party of the Right at Yale.
More recently, there is a divergence between advocates of “common good conservatism” and those they disparage as individualists, libertarians, or—especially in the legal and constitutional contexts—“positivists”. Common good conservatives themselves subdivide, for example between those who reject constitutional (or statutory) “originalism” (e.g. Adrian Vermeule) and “common good originalists” (e.g. Josh Hammer). The divergence between today’s common good conservatives and those they criticize echoes in part, but only in part, an older divergence between “communitarians” (some but not all of them conservatives) and “individualists”.
There has been another important divergence within the conservative sphere, at least since the Second World War, over the proper place of principle in politics and law. How devoted to principle ought American politics and adjudication to be
Workshop: Acquiring Commercial Data Sets for Library Collections: A Review of Related Issues
This session is designed to bring together librarians and collection strategists who are responsible for identifying, acquiring and licensing commercial data in all subjects. Commercial datasets often don’t fit into traditional processes such as selection, acquisition, licensing, discoverability, storage and archiving, and are often very expensive and therefore come with unique challenges and obstacles. New forms of scholarly communication actively include data, making this session particularly timely as requests for data content are increasing. Launching practices including those using various artificial intelligence applications contribute to the complexities of handling commercial data sets. This session will provide examples of workflows libraries use to purchase and acquire datasets, obstacles and challenges they experience, an interactive group case study to introduce alternate solutions to handling commercial data with discussion time to explore solutions and share ideas. Attendants will leave with a greater understanding of how libraries can respond to data requests and acquire in an efficient, expedient way so that users can find, analyze and use this data in their academic work
Workshop: Examining the Use and Implications of Generative Artificial Intelligence (AI) to OER
The emergence of AI, specifically generative and large language models (LLM), ushered in a major technological advancement that has significantly impacted education, particularly teaching and learning. The increasing proliferation of these AI-enabled tools is starting to change how we engage with our work and daily lives. In open education and OER, discussions about its implications are beginning to emerge, including concerns about authorship, attribution, responsible use, ethics, and privacy. How might integrating generative AI with OER change its nature and our engagement with these resources? How might we leverage the power of OER and generative AI to create engaging learning experiences that benefit learners? This workshop will introduce participants to the issues we must examine in this new and ever-changing landscape. Together, we will explore AI\u27s current applications and possibilities in OER. Through hands-on exercises, we will explore OpenTextbook AI, a generative tool that uses open textbooks as training data, and examine how this might impact our usage and engagement with open materials
The Age of AI: Why the European Union Was the First to Regulate Artificial Intelligence
The implications of the transformative and unknown nature of emerging Artificial Intelligence (AI) technologies raise important questions in current conversations in the international realm. The potential danger of AI calls for regulation, but the regulation of private technological endeavors is uncharted territory. However, on March 13, 2024, the European Union (EU) successfully passed legislation about the technology, titled the European Union Artificial Intelligence Act (EU AI Act). Thus, what explains why the European Union has been the first to successfully pass legislation on Artificial Intelligence? This research demonstrates that such legislation passed because of the European Union’s Socioeconomic capacity, its Structural components, and their System of coalitions. This claim is supported by qualitative research about the structure of the EU, past actions of the EU, and the EU AI Act itself