Integrating a Narrative Approach to Medicine
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
This podcast was prepared for the UWill Discover Sustainable Futures Project at the University of Windsor by Outstanding Scholar student Krishali Kumar. Narrative medicine is a technique in which a physician will apply "narrative competence-that is, [the capacity to receive, interpret, co-construct, and bear witness to the stories I...] patients bring" (Peterkin, 2012, paras. 1). This podcast will explore the roots of narrative medicine, its benefits considering the current state of Canadian healthcare, and disadvantages, drawing from experiential applications in healthcare institutions across the globe and locally, including at the University of Toronto's Narrative Medicine Lab. Additionally, this podcast will suggest strategies in integrating narrative medicine in care for future healthcare professionals. The potential impact of this work is to instill in future medical providers the importance of the medical humanities as to promote the well-being of their future patients.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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