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Record W4407958850 · doi:10.1111/cch.70056

Children's Risky Play and Resilience: Perspectives of Emergency Care Practitioners

2025· article· en· W4407958850 on OpenAlexafffundabout
Michelle E. E. Bauer, Meghan Gilley, Ian Pike

Bibliographic record

VenueChild Care Health and Development · 2025
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsUniversity of British Columbia
FundersBC Children's Hospital
KeywordsThematic analysisPsychologyDistressAutonomyDevelopmental psychologyPsychological resilienceCognitionMedicineQualitative researchClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Parents' perspectives on children's risky play can provide researchers with insight into their injury prevention and safety needs and support researchers in understanding how challenging and exciting play may positively shape children's physical, cognitive, and social development. To date, however, the perspectives of parents who witness severe injuries as part of occupational experiences, and who have medical training, are lacking within this scholarship. In this study, we worked with emergency room practitioners to understand their perspectives on children's risky play and resilience. METHODS: A risk and sociocultural theoretical lens informed our approach and we conducted semi-structured interviews with doctors and nurses (n = 56) across Canada who had children between the ages of 4 and 13. RESULTS: Findings from a thematic analysis were threefold: (1) learning to persevere through failure, (2) developing distress tolerance, and (3) supporting child autonomy and independence. CONCLUSION: Findings indicate doctors and nurses can perceive children as more emotionally and physically equipped to cope with stressful and potentially injurious situations across their lifespan if they are exposed to challenging and exciting play during childhood. Further, while the practitioners believed it was important to intervene in play which could result in children experiencing severe injuries, they believed adults should support children in testing their physical and cognitive boundaries during risky play without adult interference.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.010
GPT teacher head0.341
Teacher spread0.332 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2025
Admission routes3
Has abstractyes

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