Knowledge and Attitudes about Suicide in 25-Year-Olds
Bibliographic record
Abstract
OBJECTIVE: To examine knowledge and attitudes about suicide in a New Zealand sample of young people aged 25 years. METHOD: The sample was a birth cohort of 1265 young people born in New Zealand in 1977 who have been followed in a longitudinal study for 25 years. At age 25, participants were asked a series of questions designed to assess their knowledge and attitudes about suicide. RESULTS: Young people had poor knowledge about youth suicide. They overestimated the number of youth suicide deaths, with a quarter believing that the number of deaths was at least 10x higher than the actual number. They overestimated the fraction of all suicides accounted for by youth suicides with two-thirds believing that 50% or more of all suicides occurred among young people. The most common source of information about suicide was the media. Young people tended to hold mixed attitudes toward suicide, having both liberal and conservative views. Those with lifetime histories of suicidal ideation or suicide attempt and those with family histories of suicide or suicide attempt tended to hold more liberal attitudes. Attitudes toward suicide were unrelated to gender and to knowledge about suicide. CONCLUSIONS: Young people over-estimate the prevalence of youth suicide and the fraction of suicides accounted for by youth deaths, and hold both conservative and liberal attitudes toward suicide. Their primary source of information about suicide is the media. These findings raise concerns about the potential for media coverage of youth suicide issues to normalize suicide as a common, and thereby acceptable, response among young people, and suggest the need for careful dissemination of accurate information about suicide by knowledgeable, respected and reputable sources.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".