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Record W2565956051

Models-Based Practice: Learning From and Questioning the Existing Canadian Physical Education Literature

2016· article· en· W2565956051 on OpenAlexaffabout
Kellie Baker

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPsychologyMathematics educationPhysical educationComputer science
DOInot available

Abstract

fetched live from OpenAlex

The culture of physical education (PE) has been identified as needing transformation because traditional PE practice privileges competitive sports, rigid requirements and uniformity. These practices marginalize and alienate ‘lower skilled’ participants, and result in a negative influence on students’ self-concepts, providing a sense of alienation within physical education. A recent pan-Canadian analysis of PE policies confirmed that curricular philosophies included critical considerations, however, learning outcomes continued to reflect primarily traditional PE models. Models-Based Practice (MBP) focuses on student-centred learning across multiple learning domains (i.e., affective, cognitive, psychomotor), an approach that strongly influences the likelihood that students will engage in active lifestyles. In a literature review on Canadian PE, 60 sources were identified, where 59 focused on singular pedagogical models while only one addressed MBP: “Teaching Games for Understanding” (TGfU) (54), “Cooperative Learning” (2), “Teaching Personal and Social Responsibility” (2), “Sport Education”(1), and MBP (1). This literature review reveals that although a range of pedagogical models could form the basis of MBP as an innovative approach to the teaching and learning of PE, TGfU dominates the Canadian pedagogical model literature. Results suggest that empirical research needs to be undertaken for MBP to achieve its theorized potential in order to achieve meaningful physical education curricular change.

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 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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.406
GPT teacher head0.668
Teacher spread0.261 · 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 teacher head, not a consensus.

Study designObservational
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

Citations3
Published2016
Admission routes2
Has abstractyes

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