Suicide rates in people of South Asian origin in England and Wales: 1993–2003
Bibliographic record
Abstract
BACKGROUND: Low rates of suicide in older men and high rates in young women have been reported in the South Asian diaspora worldwide. Calculating such suicide rates in the UK is difficult because ethnicity is not recorded on death certificates. AIMS: To calculate the South Asian origin population suicide rates and to assess changes over time using new technology. METHOD: Suicide rates in England and Wales were calculated using the South Asian Name and Group Recognition Algorithm (SANGRA) computer software. RESULTS: The age-standardised suicide rate for men of South Asian origin was lower than other men in England and Wales, and the rate for women of South Asian origin was marginally raised. In aggregated data for 1999-2003 the age-specific suicide rate in young women of South Asian origin was lower than that for women in England and Wales. The suicide rate in those over 65 years was double that of England and Wales. CONCLUSIONS: Older, rather than younger, women of South Asian origin seem to be an at-risk group. Further research should investigate the reasons for these changes and whether these patterns are true for all South Asian origin groups.
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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 | 0.000 |
| 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".