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Record W4401705146 · doi:10.1080/14729679.2024.2393133

Monkey bars and medical masks: a photo-voice study of children’s playground safety in British Columbia, Canada

2024· article· en· W4401705146 on OpenAlex
Michelle E. E. Bauer, Ildiko Gabriella Kovács, Ian Pike

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Adventure Education & Outdoor Learning · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsChild safetyPsychologyEngineering

Abstract

fetched live from OpenAlex

Children’s perspectives on their outdoor play safety can provide unique insight into what activities and environments are injurious for them. In this study, we conducted photo-elicitation interviews with 13 children (7 girls, 6 boys) from low- to mid-income communities who were between the ages of 9- to 13-years-old. The goal of the study was to examine their perspectives of outdoor play safety around urban playgrounds over a two-week period while they participated in day camp activities. Our thematic content analysis resulted in three themes: (1) fear of falling; (2) illness prevention; and (3) need for excitement. Our findings suggest children’s perception of safe play may be shaped by exposure to sanitary practices throughout the COVID-19 pandemic. Further, findings demonstrate children can experience tensions in participating in desirable play that is exciting, novel, and challenging, while fearing they could fall from higher structures that afford them with these opportunities.

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.

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)0.005
metaresearch head score (Gemma)0.006
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 score0.104
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.067
GPT teacher head0.479
Teacher spread0.411 · 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