Cultivating Compassion: The Practice Experience of a Medical Assistance in Dying Coordinator in Canada
Bibliographic record
Abstract
Accessing medical assistance in dying (MAiD) became legal in Canada in June, 2016. This marks a unique time in our history, as eligible persons can now opt for an assisted death and health care professionals can be involved without criminal repercussion. I used an autoethnographic approach to explore and describe my experience of implementing and coordinating a new MAiD program in a local health authority. Part I is a self-reflexive narrative based on journal entries about my immersion in this practice role over a 6 month period. In Part II, I share five emergent storylines: coming to the role (the calling), embodiment (becoming the face of), immersion in clinical practice, interactions with those seeking MAiD, and self survival (sense making). The created story and storylines shine a light on new ethical practice realities, enhance understanding about MAiD as it continues to unfold, and hopefully inspire human centered, compassionate care.
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How this classification was reachedexpand
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 | 0.013 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".