Correlates of Suicide in the Older Adult Population in Quebec
Bibliographic record
Abstract
This study was undertaken to describe the characteristics of adults aged 60 years and over who committed suicide in Quebec in 1998-1999. In this study, 42.6% of the suicide cases presented mental disorders at the time of their death, mainly depression. Sixty-five (65.3%) percent of the suicide cases would have been considered as having a mental health disorder if sub-threshold depression cases were included. Only 27.7% of the cases did not express any idea of death during the 6-month period preceding their suicide. One interesting finding was that 53.5% of the suicide cases consulted a general practitioner or specialist during the 2-week period preceding their death. Our results showed that only 8.1% had a severe level of functional limitations at the time of their death. This result leads us to interpret with caution the conclusion of some studies suggesting that physical frailty is a major causal factor associated with suicide among the elderly.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".