The below databases are multidisciplinary. This means they contain articles from many different disciplines such as medicine, nursing, social sciences, history, education and political science. If you're looking for articles for a question that is multidisciplinary, meaning it's about more than 1 subject area eg. sport and business or sport and ethics then the below would be a good place to look. These are the best places to start looking for articles for topics related to the history, ethics, communications, and management of sports:
Full-text access to articles from 1,700 Elsevier journals covering the subject areas of science, social sciences, arts, and humanities.
These are the best places to start looking for articles focusing on the health science aspects related to Human Kinetics. You can also see our full list of Electronic Resources.
Look for the “Check for full text @ X” link next to each result. Use that link to get the full text via the Library’s subscriptions.
Link your Google account to StFX, so the “Check for full text @ X” links will always appear – even if you don’t start your search from this page. Go to our customized settings screen and click Save. If you’re logged into a Google account, it will remember that setting from now on.
There are a lot of new discovery tools and search engines coming up that are enhanced with AI and LLMs. Some of these tools are called Retrieval Augmented Generation (RAG). To learn more about RAG systems see this blog by Determind.ai
Below discovery tools you want to explore, with a warning that you will still need to critically evaluate the results (aka, does this paper seem legit?) and any guidance or summaries they are providing (the tool-generated text can be off from compared with the actual paper). So use the below with caution at this point.
See this guide by McGill Libraries for help evaluating AI enhanced resources.
For more information on Gen AI tools and literature reviews see this online guide.