Risk Assessment by British Children and Adults
Bibliographic record
Abstract
We present data illustrating how preschool-aged British children ranked the danger of different situations and adults rated various external causes of mortality. Ranks were calculated from 34 children’s ratings of dangers presented by eight scenarios using a three-dimensional diorama. Lion and hippopotamus figurines were presented to characterize historical threats with intentional agency. Children ranked the lion followed by the hippopotamus as presenting the greatest danger. When these ranks were pooled to reflect a general category of animal attacks, the children’s ranks failed to reflect the national statistics on childhood deaths. Adult ratings for the prevalence of 20 external causes of mortality in the general public were positively correlated with the actual frequency of mortality due to these causes. Nevertheless, adults were seen to underestimate their personal susceptibility to the same dangers. Children and adults differ in risk assessment based initially on early childhood predispositions, with experience altering risk assessment to match the local environment.
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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 | 0.001 |
| 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 | 0.001 |
| 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".