Brain development, mental health and addiction: a podcast series for undergraduate medical education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – The purpose of this paper is to describe the process of developing the early brain and biological development and addictions podcast series for first and second year medical students. This paper also presents the findings from an evaluation of the introductory podcast in this series of 13 podcasts. Design/methodology/approach – Three focus groups were held with a total of 19 participants representing ten universities across Canada as well as one college and one foundation. Each focus group was audiotaped and then transcribed verbatim. The coding process consisted of grouping the common codes together to form themes based on the W(e)Learn framework. Findings – Findings suggested that most participants were enthusiastic regarding the potential of the podcast project not only for the intended audience but also for all medical students and residents as well as continuous healthcare education. However, findings also suggest that other participants were not as fervent about the potential of the program. Many participants provided suggestions for how to further improve the podcast. These suggestions have already been implemented into the program design in an attempt to meet end-users' needs and expectations. Originality/value – This research shares an innovative approach to supporting healthcare education in undergraduate education. Podcasting has become a cost-effective and convenient pedagogical tool for distributing educational information. Podcasts are effective teaching tools since listening is an active, engaging and creative process on interpreting content and creating meaning from auditory cues.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it