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Record W1772434089

Physical Education Teacher Education (PETE) in Canada

2011· article· en· W1772434089 on OpenAlexaffabout
Nancy Melnychuk, Daniel B. Robinson, Chunlei Lu, David Chorney, Lynn Randall

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsSt. Francis Xavier UniversityUniversity of New BrunswickBrock UniversityUniversity of Alberta
Fundersnot available
KeywordsTeacher educationPhysical educationPedagogyCurriculumSociologyUnderpinningWork (physics)PsychologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to provide a description of physical education teacher education (PETE) programs presently offered at undergraduate degree-granting Canadian universities as well as highlight the instructors that work within these PETE programs. The investigation was conceptualized by issues related to the dislodging of PETE from a central to a marginal role in higher education, contrasting discourses, and the education of children and youth in a post-modern society. In an effort to examine the worldview orientation, underpinning discourses, curricula, structure, and organization of Canada’s programs, 36 physical education (PE) teacher educators from 20 universities completed an online survey; results enabled a profile of Canada’s PE teacher educators and the PETE programs in which they work. Collectively, the findings suggest a need for critical consideration and/or revisiting of programs in light of changing societal and student needs for global, socially, and culturally responsive PETE. Key words: physical education teacher education (PETE), teacher education. Résumé

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.396
Threshold uncertainty score0.995

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.107
GPT teacher head0.471
Teacher spread0.364 · 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

Citations30
Published2011
Admission routes2
Has abstractyes

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