Father-child and mother-child activation relationships as predictors of injury-risk behaviors in preschool boys and girls
Bibliographic record
Abstract
Boys are known to take more risks than girls, which may lead them to suffer more injuries than girls when exploring their physical surroundings. The aims of this study are to verify whether the father-child activation relationship has a greater effect than the mother-child activation relationship on preschoolers' risk-taking, and whether both of these relationships are a greater predictor of risk-taking in boys than in girls. Activation relationships were assessed using a standardized observation procedure at 15 and 45 months old with each parent. Both parents completed a questionnaire on their child's injury-risk behaviors during the preschool years. Both predictions were supported. Moreover, this longitudinal study found that preschoolers' risk-taking was predicted by mother-child overactivation in both infancy and preschool, whereas preschoolers' risk-taking was predicted by father-child overactivation in preschool alone, after controlling for parent-child overactivation relationships during infancy.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".