When is a person dead? The Canadian public’s understanding of death and death determination: a nationwide survey
Bibliographic record
Abstract
PURPOSE: We aimed to describe the Canadian public's understanding and perception of how death is determined in Canada, their level of interest in learning about death and death determination, and their preferred strategies for informing the public. METHODS: We conducted a nationwide cross-sectional survey of a representative sample of the Canadian public. The survey presented two scenarios of a man who met current criteria for neurologic death determination (scenario 1) and a man who met current criteria for circulatory death determination (scenario 2). Survey questions evaluated understanding of how death is determined, acceptance of death determination by neurologic and circulatory criteria, and interest and preferred strategies in learning more about the topic. RESULTS: Among 2,000 respondents (50.8% women; n = 1,015), nearly 67.2% believed that the man in scenario 1 was dead (n = 1,344) and 81.2% (n = 1,623) believed that the man in scenario 2 was dead. Respondents who believed that the man was not dead or were unsure endorsed several factors that may increase their agreement with the determination of death, including requiring more information about how death was determined, seeing the results of brain imaging/tests, and a third doctor's opinion. Predictors of disbelief that the man in scenario 1 is dead were younger age, being uncomfortable with the topic of death, and subscribing to a religion. Predictors of disbelief that the man in scenario 2 is dead were younger age, residing in Quebec (compared with Ontario), having a high school education, and subscribing to a religion. Most respondents (63.3%) indicated interest in learning more about death and death determination. Most respondents preferred to receive information about death and death determination from their health care professional (50.9%) and written information provided by their health care professional (42.7%). CONCLUSION: Among the Canadian public, the understanding of neurologic and circulatory death determination is variable. More uncertainty exists with death determination by neurologic criteria than with circulatory criteria. Nevertheless, there is a high level of general interest in learning more about how death is determined in Canada. These findings provide important opportunities for further public engagement.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".