Perceptions and Experiences of Medical Assistance in Dying Among Illicit Substance Users and People Living in Poverty
Bibliographic record
Abstract
Since medical assistance in dying (MAiD) became legal in Canada in 2016, there have been concerns about vulnerable people feeling pressured to end their lives. It is important to understand what people in marginalized communities know and feel about MAiD in order to help prevent any pressure to hasten death and to prevent any barriers to accessing assisted death. This qualitative study explored the perceptions and experiences of MAiD and other end-of-life care options with 46 people who were illicit substance users, living in poverty, or who worked with marginalized people in these communities. Six broad themes were identified: the importance of family, friends, and community; the effects of the opioid crisis; barriers to accessing end-of-life care services; support for MAiD; the difference between suicide and MAiD; and what constitutes a good death. Findings from this research may be used to help inform future legislation, professional guidelines, and standards of best practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".