Understanding Toddlers' In-Home Injuries: I. Context, Correlates, and Determinants
Bibliographic record
Abstract
Multimethod strategies (i.e., questionnaires, parents' observations, injury-event recording diaries, telephone and home interviews) were used to study in-home injuries experienced by toddlers over a 3-month period. Cuts, scrapes, and puncture wounds were the most common injuries. The majority of injuries affected children's limbs, and injuries most often occurred in the morning. Boys were injured most often in rooms designated for play, and a majority of their injuries followed from misbehavior. Girls were most often injured in nonplay areas of the home, with the majority of injuries occurring during play activities. Boys experienced more frequent and severe injuries than girls, although girls reacted more than boys to their injuries. Child factors relevant to injury included: risk taking, sensation seeking, and ease of behavior management. Temperament factors did not relate to child injury. Parent factors relevant to child injury included parents' beliefs about control over their child's health, protectiveness, and beliefs about child supervision. Regression analyses revealed that both child (i.e., risk taking) and parent (i.e., protectiveness) factors were significant determinants of child injury.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".