Mortality in southern England during the 2003 heat wave by place of death.
Bibliographic record
Abstract
More than 2000 deaths were attributed to the August 2003 heat wave in England and Wales. We analysed excess mortality in southern England during the heat wave by place of death. Excess mortality was 33 per cent in those aged 75 and over and 13.5 per cent in the under 75 age group during the 10 day heat wave. Among those aged 75 and over, deaths at home increased by 33 per cent and deaths in nursing homes increased by 42 per cent. Around one quarter of the heat wave attributable deaths occurred in care homes, but this is likely to be an underestimate as some residents may have been admitted to hospital before death. There is a need for further research to assess the risk of heat-related mortality in hospital in-patients and the residents of care homes in order to improve prevention strategies.
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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 | 0.000 | 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".