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The PAPERs Podcast

#19 Long Live the Purple Scrunchy!

This work pushes beyond current notions of psychological safety and so looks not only at how educators can help protect the full breadth of identities that learners bring to medical education, but also the agency that the learners can harness. If you want to foster learning environments where each and every learner is free to be their full selves, then this is a must-listen episode.

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#18 Methods Consult – Thematic analysis

Methods Consult – Thematic Analysis is an inaugural episode where Lara Varpio dig a bit deeper into the some of the science methods and theory in health professions education. In this episode, we review thematic analysis as an independent data analysis approach, following the tradition that has been laid out by Braun and Clarke in Thematic Analysis: A Practical Guide (2022). Varpio talks about the six phases in doing a reflexive thematic analysis.

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#13 Cooking your way through medical school: a hand-on approach to food as an evidence-based intervention. 

Teaching health professionals to discuss practical aspects of nutrition with patients is important. This paper describes innovative culinary medicine programs, including their benefits, success factors, gaps, and challenges. The related podcast provides a different perspective … or does it?

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#11 Break on through to the other side of PIF

In this episode, Lara brings a book chapter to the discussion which asks if we need to think differently about professional identity formation (PIF). The hosts discuss the strengths and weaknesses of current ways of thinking about PIF and they review the concept of subjectification and how this concept might help the field move to new, and exciting new ways of thinking about being a clinician.

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# 10 Ex machina: The disruption of HPE with AI 

In this episode we examine the feasibility of a hugely popular chatbot to answer a national medical licensing exam and discuss the implications of this disruptive innovation.
Chatbots use natural language processing (NLP) to converse and answer questions posed by a human user. Large language models have accelerated the usability of chatbots.  Original composition, answering complex questions etc. are some of the features. 

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