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Record W2949201986 · doi:10.1177/1356336x19856381

A major review of stakeholder perspectives on the purposes of primary physical education

2019· review· en· W2949201986 on OpenAlexaff
Déirdre Ní Chróinín, Tim Fletcher, Mike Jess, Méabh Corr

Bibliographic record

VenueEuropean Physical Education Review · 2019
Typereview
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsBrock University
Fundersnot available
KeywordsPhysical educationStakeholderPsychologyPrimary educationPublic relationsPedagogyMedical educationPolitical scienceMedicine

Abstract

fetched live from OpenAlex

While there may be some broad agreement about the purposes of primary physical education, there is dramatic variance in how these purposes are prioritised and enacted. Primary physical education consequently focusses on multiple, often competing, priorities. To gain a better understanding of this issue we review how different stakeholders view the purposes of primary physical education. We analysed 95 qualitative studies published between 2000 and 2017 that focussed on the views of different stakeholders. Across all stakeholders, the main purposes of primary physical education were identified as being physically active and learning physical, social, and emotional skills. Teachers and pupils were the most represented stakeholders, while the limited representation of school principals and policy makers was noted. The review indicates a need to examine the perspectives of those underrepresented stakeholders, serving as an entry point for bridge-building to shape the future direction of primary physical education.

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)0.009
metaresearch head score (Gemma)0.023
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0080.010
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.002
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 head0.276
GPT teacher head0.521
Teacher spread0.245 · 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
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

Citations29
Published2019
Admission routes1
Has abstractyes

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