Economic and epidemiological impact of youth suicide in countries with the highest human development index
Bibliographic record
Abstract
This research estimates the economic and epidemiological impact of youth suicide in countries with the highest human development index. The study relied on secondary analysis of suicide mortality data for youth aged between 15-24 years in countries with the highest human development index-Norway, Australia, Switzerland, Germany, Denmark, Singapore, Netherlands, Ireland, Canada and the United States. The impact of youth suicide is measured using years of life lost, years of productive life lost and present economic value of lost productivity. Costs are expressed in 2014 International dollars. Future earning potential is estimated using adjusted gross domestic product per capita, employment potential and historical trends in productivity and real interest rates. In 2014, an estimated 6,912 young people living in the most developed countries in the world lost their lives to suicide. These preventable deaths resulted in a loss of 406,730 years of life at a cost of $5.53 billion in lost economic income with the average cost of suicide estimated at $802,939. The United States stands out as a country with the most significant youth suicide problem accounting for 77% of total costs. Reducing youth suicide requires a multifaceted approach and significant investment by governments.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".