First-time mothers’ responses to young children behaving in ways that can lead to injury
Bibliographic record
Abstract
OBJECTIVES: Children of first-time mothers experience an elevated risk of unintentional injuries, though little is known about the safety practices of first-time mothers. The current study aimed to identify factors that influence how first-time mothers respond to young children engaging in injury-risk behaviors in the home. Based on past research regarding influences on non-first-time mothers' safety practices, factors considered herein included: demographic attributes, parent personality, parenting style, and family context. METHODS: : First-time mothers (N = 74) of young children (M = 24.39 months) were exposed to hypothetical scenarios in which a child's behavior could be interpreted in terms of misbehavior or threats to their safety; mothers were advised to react as if the child were their own. RESULTS: Analysis of verbatim responses made by mothers to their children indicated that first-time mothers were significantly more concerned with correcting undesirable behaviors than addressing safety risks. High scores on parent permissiveness and conscientiousness were protective, predicting higher frequencies of teaching/explaining responses about safety, which has been shown to moderate children's injury-risk behaviors. In contrast, greater household chaos and lower conscientiousness were risk factors, predicting more power-assertive responses, which are ineffective for stopping children from engaging in injury-risk behaviors. CONCLUSION: : Injury prevention interventions may benefit first-time parents by assisting them to enact strategies that teach young children about safety, reduce power-assertive parenting, and moderate the level of household chaos. Suggestions for future research are discussed.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".