Last wills and testaments in a large sample of suicide notes: Implications for testamentary capacity
Bibliographic record
Abstract
BACKGROUND: The leaving of a will prior to death by suicide is a relatively unexplored area. AIMS: To determine the frequency and details of will content in suicide notes. METHOD: Coroner records for 1565 deaths by suicide in Toronto (2003-2009) were reviewed for (a) will content and (b) the presence of depression, psychotic illness, dementia and intoxication prior to death. RESULTS: In total, 59 (20.7%) of 285 available suicide notes were found to have will content. Of those who left a will, 43 (72.9%) were reported to have a major mood or psychotic disorder, but none had dementia. Fifteen of 19 toxicology samples showed alcohol, sedative hypnotic/benzodiazepine, opioid and/or recreational drugs were present. CONCLUSIONS: A substantial minority of suicide notes may also include testamentary intent. The observed high rate of mental illness and substance use around the time of death has important clinical implications for understanding the mindset of people who die by suicide and hence also legal implications regarding testamentary capacity.
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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 | 0.003 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".