ORIGINAL CONTRIBUTION Mortality in a Cohort of Street Youth in Montreal
Bibliographic record
Abstract
For editorial comment see p 624. Context Many studies have shown a high prevalence of sexually transmitted diseases, human immunodeficiency virus (HIV) infection, viral hepatitis, drug dependence, and mental health problems among street youth. However, data on mortality among these youth are sparse. Objectives To estimate mortality rate among street youth in Montreal and to identify causes of death and factors increasing the risk of death. Design, Setting, and Population From January 1995 to September 2000, 1013 street youth 14 to 25 years of age were recruited in a prospective cohort with semiannual follow-ups. Original study objectives were to determine the incidence and risk factors for HIV infection in that population; however, several participants died during the first months of follow-up, prompting investigators to add mortality to the study objectives. Mortality data were obtained from the coroner’s office and the Institut de la Statistique du Québec. Main Outcome Measures Mortality rate among participants and factors increasing the risk of death. Results Twenty-six youth died during follow-up for a mortality rate of 921 per 100000 person-years (95 % confidence interval [CI], 602-1350); this represented a standardized mortality ratio of 11.4. The observed causes of death were as follows: suicide (13),
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".