Slowing the Slide Down the Slippery Slope of Medical Assistance in Dying: Mutual Learnings for Canada and the US
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
Canada and California each introduced legislation to permit medical assistance in dying in June, 2016. Each jurisdiction publishes annual reports on the number of deaths that occurred under their respective legislations in the previous years. The numbers are disturbingly different. In 2021, 486 individuals died under California's End of Life Option. In the same year 10,064 Canadians died under that country's Medical Assistance in Dying (MAiD) legislation. California has a slightly larger population than Canada, and while medically assisted deaths as a percentage of total deaths remained virtually unchanged in California from 2020-2021, Canada saw a 30% increase from 2020 to 2021. This essay examines some of the factors propelling Canada down the slippery slope of medically assisted suicide, as well as those that may be keeping California and other US jurisdictions from taking the slide. At a time of increasing pressure in many jurisdictions (both nationally and internationally) to liberalize access to medical assistance in dying, some lessons from this comparative analysis are offered.
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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 | 0.006 | 0.004 |
| 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 | 0.003 |
| 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 it