MétaCan
Menu
← Back to cohort
Record W7070283762

Parent-child co-participation in sport and physical activity: A scoping review

2023· article· en· W7070283762 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsQueen's University
Fundersnot available
KeywordsContext (archaeology)Physical activityOutcome (game theory)Qualitative researchSport psychologyResearch design
DOInot available

Abstract

fetched live from OpenAlex

Parent-child co-participation has often been correlated with physical activity engagement levels. However, both new research and anecdotal evidence suggest that parent-child sport co-participation may provide developmental benefits for both parents and their children beyond simple rates of engagement. The aims of this scoping review were twofold: first, to gather the available research on parent-child co-participation in the sport context and identify how co-participation has been conceptualized in the literature, and second, to discuss the contexts in which parent-child co-participation have been investigated. Through this review, we found that co-participation has most often been conceptualized as either a predictor of physical activity or a one-dimensional outcome variable. A small number of studies have examined co-participation as a developmental process. Future research recommendations include examining the co-participation in greater detail as a process, with the intent to further understand the developmental contexts of these sport and relationship environments.

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)0.010
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.051
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0120.015
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.101
GPT teacher head0.393
Teacher spread0.292 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicLinguistics and Discourse Analysis→French-language works237,207→