Individual and familial mental illness is associated with an increased risk of suicide in young people
Bibliographic record
Abstract
Agerbo E, Nordentorf M, Mortensen P. Familial, psychiatric, and socioeconomic risk factors for suicide in young people: nested case-control study. BMJ2002 July; 325 : 74 –9 [OpenUrl][1][Abstract/FREE Full Text][2] QUESTION: What family, individual and socioeconomic factors are associated with youth suicide? Case-control study using Danish population registers. All recorded youth suicides between 1981 and 1997 (496 people aged 10–21 years) were matched with 24,800 controls. Parents and siblings were identified from population based registers. Inpatient data were gathered from discharge registers of national hospitals and socioeconomic data were collected from administrative registers. Suicide data were collated from official registries. Youth mental illness was the factor most … [1]: {openurl}?query=rft.jtitle%253DBMJ%26rft.stitle%253DBMJ%26rft.aulast%253DAgerbo%26rft.auinit1%253DE.%26rft.volume%253D325%26rft.issue%253D7355%26rft.spage%253D74%26rft.epage%253D74%26rft.atitle%253DFamilial%252C%2Bpsychiatric%252C%2Band%2Bsocioeconomic%2Brisk%2Bfactors%2Bfor%2Bsuicide%2Bin%2Byoung%2Bpeople%253A%2Bnested%2Bcase-control%2Bstudy%26rft_id%253Dinfo%253Adoi%252F10.1136%252Fbmj.325.7355.74%26rft_id%253Dinfo%253Apmid%252F12114236%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=bmj&resid=325/7355/74&atom=%2Febmental%2F6%2F2%2F61.atom
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".