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Record W2914918762 · doi:10.1123/jtpe.2018-0270

Physical Literacy in Children and Youth—A Construct Validation Study

2019· article· en· W2914918762 on OpenAlex
John Cairney, Heather J. Clark, Dean Dudley, Dean Kriellaars

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

VenueJournal of Teaching in Physical Education · 2019
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversity of ManitobaUniversity of Toronto
Fundersnot available
KeywordsCompetence (human resources)PsychologyConstruct (python library)Physical educationConstruct validityLiteracyMultilevel modelDevelopmental psychologyMean squared errorMathematics educationApplied psychologySocial psychologyStatisticsMathematicsPedagogyPsychometricsComputer science

Abstract

fetched live from OpenAlex

Purpose : Physical literacy (PL) has been proposed as a key construct for understanding participation in physical activity. However, the lack of an agreed-upon definition and measure has hindered research on the topic. The current study proposed and analyzed the construct validity of a PL model comprised of motor competence, perceived competence, motivation, and enjoyment. Method : The authors tested three different models in two samples: Grade 5 ( N = 1,448) and Grade 7 students ( N = 698). Results : The PL construct was best represented as a hierarchical model in both the Grade 5, X 2 (295) = 791.90, p < .001; root mean square error of approximation = .035; and comparative-fit index = .97, and the Grade 7 samples, X 2 (295) = 557.21, p < .001; root mean square error of approximation = .036; and comparative-fit index = .98, samples. Discussion : Future work is needed to design and evaluate a PL measure consistent with our model. Such work will help generate further research and understanding of PL.

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)0.000
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 score0.176
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.009
GPT teacher head0.331
Teacher spread0.322 · 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