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Record W3028618146 · doi:10.1111/1467-9566.13107

Children's active outdoor play: ‘good’ mothering and the organisation of children's free time

2020· article· en· W3028618146 on OpenAlexaffabout
Emily Clark, Alex Dumas

Bibliographic record

VenueSociology of Health & Illness · 2020
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSalientPromotion (chess)SociologyQualitative researchLived experienceHealth promotionGender studiesPsychologyDevelopmental psychologyNursingMedicinePolitical scienceSocial sciencePublic healthLawPsychoanalysis

Abstract

fetched live from OpenAlex

This qualitative study draws on the Foucault-inspired notion of biopedagogies to examine and problematise the salient factors of contemporary motherhood impacting children's active outdoor play (AOP). The study positions mothering as a practice, through which children's health and bodies are constructed and disciplined. A discourse analysis of 21 interviews with Canadian mothers identified three discursive constructions of the 'good mother': mothers as time managers, risk managers and screen-time managers. Each was characterised by discursive conflicts that compromised the provision of AOP by mothers. This study provides data necessary for successfully including AOP as a leisure practice within family-centred health promotion.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.090
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.017
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.297
Teacher spread0.286 · 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

Citations37
Published2020
Admission routes2
Has abstractyes

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