Identifying predictors of medically-attended injuries to young children: do child or parent behavioural attributes matter?
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To investigate whether one can differentiate injured and uninjured young children based on child behavioural attributes or indices of caregiver supervision. METHOD: A matched case-control design was used in which case participants were children presenting to an emergency department for treatment for an injury and age/sex matched control participants presented for illness-related reasons. During structured phone interviews about supervision parents reported on general supervisory practices (standardised questionnaire) and specific practices corresponding to time of injury (cases) or the last time their child engaged in the activity that incited their match's injury (controls). Parents also reported on child behavioural attributes that have been linked to child risk taking in prior research (inhibitory control, sensation seeking). RESULTS: Results revealed no group differences in child behavioural attributes; however, the control group received more supervision both in general (OR = 4.82, 95% CI 1.89 to 12.33) and during the specified activity that led to injury in cases (OR = 5.38, 95% CI 2.13 to 13.58). CONCLUSION: These findings confirm past speculation that caregiver supervision influences children's risk of medically-attended injury and highlight the importance of targeting supervision in child-injury prevention interventions.
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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) | 0.001 | 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) | 0.001 | 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 it