A Quantitative and Qualitative Study of Notes Left by Youth Who Died by Suicide in Quebec from 1895 to 1985
Bibliographic record
Abstract
The study of suicide notes and the evolution of their content could contribute to a better understanding of reasons conducive to suicide mortality and offer further prevention strategies. From 1895 to 1985, 706 coroner’s inquests of individuals who died by suicide and were 20 years old or younger were found in the province of Quebec. Quantitative analysis compared those who left notes (n = 47) to those who did not leave notes (n = 659). Furthermore, notes were subjected to inductive thematic analysis. Sociodemographic characteristics of the deceased individuals did not change over time. Qualitative analysis revealed four superordinate themes: (1) last wishes, (2) to those I leave behind, (3) about me and how and why I did it, and (4) self-positioning in the world. Only the last theme evolved over the time period considered. Suicide notes shed light on the psychological state of the majority of young note leavers and suggest the persistent feelings of distress and entrapment before the suicide, which may be important factors for caregivers and family members to monitor.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| 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".