Bibliographic record
Abstract
Objective: To review the research on the epidemiology, risk and resiliency, assessment, treatment, and prevention of late-life suicide. Method: I reviewed mortality statistics. I searched MEDLINE and PsycINFO databases for research on suicide risk and resiliency and for randomized controlled trials with suicidal outcomes. I also reviewed mental health outreach and suicide prevention initiatives. Results: Approximately 12/100,000 individuals aged 65 years or over die by suicide in Canada annually. Suicide is most prevalent among older white men; risk is associated with suicidal ideation or behaviour, mental illness, personality vulnerability, medical illness, losses and poor social supports, functional impairment, and low resiliency. Novel measures to assess late-life suicide features are under development. Few randomized treatment trials exist with at-risk older adults. Conclusions: Research is needed on risk and resiliency and clinical assessment and interventions for at-risk older adults. Collaborative outreach strategies might aid suicide prevention. (Reprinted with permission from Canadian Journal of Psychiatry 2006;51:143–154. https://ww1.cpa-apc.org/Publications/Archives/CJP/2006/march1/heisel-IR.asp )
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| 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".