Heat related deaths to young children in parked cars: an analysis of 171 fatalities in the United States, 1995–2002
Bibliographic record
Abstract
OBJECTIVE: To describe the circumstances surrounding heat related deaths to young children in passenger compartments of motor vehicles. METHODS: Cases of heat related deaths to children aged </=5 years confined in parked vehicles were retrospectively identified using online news accounts from 1 January 1995 to 31 December 2002. A standardized data form was developed to collect information related to the victim, the vehicle and its design features, external temperature, length of time confined, and the responsible adults. Cases were categorized by whether the child gained access to the vehicle or was left by adults. RESULTS: A total of 171 fatalities that met the case criteria were identified. Twenty seven percent (46) were children who gained access to unlocked vehicles and 73% (125) were children who were left by adults. More than a quarter of the adults were aware they were leaving children in the vehicles, while half were unaware or forgot. Forty three percent (54) of deaths to children who were left were associated with childcare: 32 children were left by family members who intended to take them to childcare but forgot and went to work instead; 22 children were left by child care providers or drivers. CONCLUSIONS: Many of the deaths reported in this study may have been prevented by keeping cars locked, educating parents, implementing informed child care transportation policies, passing relevant laws, and working with auto and child safety seat manufacturers to build in warnings and other design features. News sources can be useful for obtaining detailed information not otherwise identifiable through standard sources of fatality data.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".