MétaCan
Menu
Back to cohort
Record W2928235982 · doi:10.1080/21594937.2019.1582844

Avoiding a dystopian future for children's play

2019· article· en· W2928235982 on OpenAlex
David J. Ball, Mariana Brussoni, Tim Gill, Harry Harbottle, Bernard Spiegal

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.

Bibliographic record

VenueInternational Journal of Play · 2019
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsScope (computer science)DystopiaRisk analysis (engineering)Value (mathematics)PsychologyBusinessMedicinePublic relationsForensic engineeringEngineeringPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Children’s play is increasingly controlled, costly and standardised. Risk aversion has resulted in attempts to eliminate all danger despite the limited health burden of play-related injuries and missing cost–benefit evidence. The current role and implementation of playground safety standards is a key inhibitor of stimulating play provision. Playground safety standards assume that play is about engineered structures. Standard creating bodies and playground inspectors tend to be missing key voices and knowledge. The proper domain of playground standards is engineering-related issues, such as structural integrity. However, they make judgments about children’s play behaviours, which are shaped by the children using the space and local circumstances: they are not standardised and should lay outside the scope of standards. We recommend that the value-based judgments currently included in standards and inspections should rest with play providers using Risk Benefit Assessment frameworks. We provide recommendations for play providers, standard setters, inspectors and public health.

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)0.001
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 score0.104
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.321
Teacher spread0.311 · 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