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Record W2533417921 · doi:10.1002/dev.21451

Motor development as a context for understanding parent safety practices

2016· article· en· W2533417921 on OpenAlexafffund
Barbara A. Morrongiello, Amanda Cox

Bibliographic record

VenueDevelopmental Psychobiology · 2016
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsUniversity of Guelph
FundersSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsContext (archaeology)PsychologyDevelopmental psychologyMotor skillInjury preventionOccupational safety and healthHuman factors and ergonomicsPoison controlMedicineEnvironmental healthGeography

Abstract

fetched live from OpenAlex

In most industrialized countries, injuries are the leading cause of death for children 1 through 18 years of age. For infants, many injuries occur in the home when they are acquiring new motor milestones. Thus, as infants' motor competencies change with development, creating increasing opportunities for them to interact with hazards, parent safety strategies need to adapt in synchrony in order to sustain a safe ecological niche and prevent injuries. The present study examined parent safety practices when infants were pre-mobile (i.e., capable of sitting independently) and mobile (i.e., capable of walking independently), with the goal being to examine how parents alter these practices in the context of changes in infant motor capabilities, what motivates these parenting changes, and how well they work to prevent injuries. For pre-mobile infants, parents often used devices to constrain their infants' movements and they did so primarily for convenience; mobile infants were seldom constrained. Supervision was a safety strategy applied at both stages, but parents maintained greater proximity for pre-mobile than mobile infants. Environmental modifications were also used for mobile infants. Parental supervision was negatively associated with injuries in the preceding month, whereas environmental modifications were positively associated with injuries. Parents at both stages rated their infants' behaviors as highly predictable but expected them to become less predictable in the near future. However, they also anticipated reducing supervision and increasing teaching during this timeframe. Implications of these findings for injury prevention are discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.165
GPT teacher head0.408
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2016
Admission routes2
Has abstractyes

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