MétaCan
Menu
Back to cohort
Record W2904795497 · doi:10.4324/9780429466991-8

Redesigning physical education in Canada

2018· book-chapter· en· W2904795497 on OpenAlexaboutno aff
Tim Fletcher, Jenna R. Lorusso, Joannie Halas

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceBusiness

Abstract

fetched live from OpenAlex

Proposals for redesign of Canadian physical education (PE) are timely. While Canada has promising initiatives that reflect ongoing redesign, there are several instances where “institutional auto-pilot” has led to negative outcomes for many children, particularly for those who have been historically marginalized in mainstream PE pedagogies and practices. In the chapter we embrace a spirit of reconciliation with and affirmation of Indigenous ways, while also responding to related calls for action. We focus on three key areas for which redesign efforts currently are underway or where opportunities remain. First, regarding identity and equity, we suggest specific redesigns of school funding, PE and PE teacher education (PETE) curricula, and the recruitment and retention of PETE students and faculty in order to destabilize whiteness. Second, we identify how the concept of physical literacy has functioned to build bridges across sectors in Canada, whereas health literacy has not, leading to a critical opportunity to merge agendas. Third, we consider how the nexus of policy, ethics, and culture may impact the implementation of these redesign initiatives. We conclude by identifying a reprioritization of research agendas towards policy and practice as a pressing task because our ability to conduct evidence-based advocacy depends on it.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.205
Threshold uncertainty score0.999

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)0.0180.002

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 head0.103
GPT teacher head0.465
Teacher spread0.362 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations9
Published2018
Admission routes1
Has abstractyes

Explore more

Same topicPhysical Education and PedagogyFrench-language works237,207