Rediscovering the art of medicine, rewards, and risks: Physicians’ experience of providing medical assistance in dying in Canada
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
BACKGROUND: Medical assistance in dying opens up uncharted professional territory for Canadian physicians extending their practices to include assisting and hastening death for eligible patients. OBJECTIVES: To understand physicians' experience of participating in assisted dying and the emotional and professional impact. METHODS: An interpretive descriptive methodology and thematic analysis were used for this research. We interviewed eight physicians engaged in assessing and providing medical assistance in dying. Data were collected through audio taped, semi-structured interviews in person or by phone. RESULTS: Three overarching themes included (1) rediscovering the art of medicine, (2) unexpected rewards, and (3) negotiating risks and challenges. Each theme has accompanying sub-themes. CONCLUSION: Medical assistance in dying is markedly different from other physicians' practices in that it has an enriched capacity for caring. The process brings deep satisfaction characterized by intimate, personalized contact with patients and families. The professional rewards of providing medical assistance in dying outweigh the challenges, offering an alternative narrative to more publicly accepted views of assisting someone to die.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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