Medical assistance in dying (MAiD): Ethical considerations for psychologists.
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
Significant ethical challenges arise when mental health practitioners care for patients who seek to accelerate their own dying for rational medically valid reasons. Current and proposed laws provide for medical assistance in dying (MAiD) in several U.S. jurisdictions, all of Canada, and several other nations. Differing provisions of these laws complicate their utility for some patients who seek aid in dying. Some extant laws include roles that mental health professionals might play in assessing patients’ competence or capacity to consent, mental illness, or other cognitive and behavioral factors. Practitioners who choose to accept roles in the MAiD process must consider and resolve a number of ethical challenges including potential conflicts between and among laws, ethical standards, third-party requests, personal values, and patients’ wishes. These include becoming aware of patients who may wish to act independently to end their lives when MAiD laws might otherwise exclude them. Examples from actual cases and the resultant discussion will form a basis for exploration of the ethical and legal complexities confronted when psychologists become engaged in the process either intentionally or incidentally. The lead article (Koocher) is not intended to comprehensively address MAiD in all of its complexity but rather to trigger a thoughtful discussion among the accompanying commentaries.
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 | 0.008 | 0.057 |
| 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 | 0.001 | 0.002 |
| 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