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Record W4200347586 · doi:10.1080/2159676x.2021.2019097

“As long as there’s no mortal risk”: the perspectives of members in combat arms occupations on children’s outdoor risky play

2021· article· en· W4200347586 on OpenAlexaffabout
Michelle E. E. Bauer, Audrey R. Giles, Mariana Brussoni

Bibliographic record

VenueQualitative Research in Sport Exercise and Health · 2021
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsBC Children's HospitalUniversity of OttawaUniversity of British Columbia
Fundersnot available
KeywordsThematic analysisSociocultural evolutionPsychologyReflexivityDevelopmental psychologySocial psychologyQualitative researchPolitical scienceSociology

Abstract

fetched live from OpenAlex

Parents’ experiences with risk can influence their perspectives on their children’s outdoor risky play. Parents in combat arms occupations in the Canadian Armed Forces have unique experiences with risk, as their occupations regularly include encountering and successfully navigating risky environments in military operations. In this study, we conducted seven semi-structured interviews with parents in combat arms occupations and used risk and sociocultural theory. Our reflexive thematic analysis resulted in two main findings: (1) Members believed outdoor risky play was beneficial for children to experience and supported children’s engagement in it; and (2) members distinguished between children’s outdoor risky play-related non-serious and serious injuries. Our findings advance scholarly conversations on how risk may be perceived and negotiated more broadly in populations who engage with risk on a frequent basis.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.011
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.121
GPT teacher head0.563
Teacher spread0.442 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations2
Published2021
Admission routes2
Has abstractyes

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