A Qualitative Content Analysis of Quebec Suicide Notes
Bibliographic record
Abstract
This paper will present the results of a qualitative content analysis of 292 Québec suicide notes from the year 2005. The content of suicide notes differed based on age and sex; experiencing a recent breakup also affected the content of the notes. The sociological significance of the results is explored in an effort to gain insight into contemporary trends in Western suicide, most notably the prevalence of youth suicide and the over-mortality of males. Suicide notes from teens and young adults contained the most instances of complaints about society, which may indicate a level of disdain for the world they are leaving behind. In addition, youth suicide notes were characterized by a lack of precise meaning attached to their actions, which indicates either an inability to define their situation, or an unwillingness to do so. Suicide notes from females contained more soothing remarks as well as more remarks denoting vengeance or anger towards others; this is interpreted as a tendency to focus on interpersonal elements when framing their message. Males, conversely, focused more on their internal characteristics when framing themselves and their situation within the notes. For males experiencing a recent breakup, their tendency was to frame themselves as dejected and deserving of their fate; for females experiencing a recent breakup, their tendency was to frame themselves as a victim of harmful individuals. Regardless of gender, the presence of a breakup drastically changed the collective message of the suicide notes.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".