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Record W2897506422 · doi:10.7202/1056280ar

Enhancing Understandings of Emerging Physical Education Practical Theory: Aboriginal Teacher Candidates’ Reflective Journaling Practices

2019· article· en· W2897506422 on OpenAlexaffvenue
Joe Barrett, Lorenzo Cherubini, Dan Robinson

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2019
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsSt. Francis Xavier UniversityBrock University
Fundersnot available
KeywordsJournaling file systemHonourPedagogyThematic analysisTeacher educationSet (abstract data type)Reflective practicePsychologyJournal writingPhysical educationSociologyQualitative researchTeaching methodSocial scienceComputer sciencePolitical science

Abstract

fetched live from OpenAlex

This paper describes results from a study that arose to explore, alongside Aboriginal teacher candidates, emerging physical education (PE) practical theory utilizing reflective journaling practices. Practical theory can be described as an individual’s personal and dynamic set of values, knowledge, and experience that guides, in part, teaching choices and behaviours. In the thematic analysis of teacher candidates’ reflective journals, care was taken to honour and confirm the voices of nine Aboriginal teacher candidates. Four key themes were identified: marginality (foreign activities and stereotypical expectations), cultural preservation through PE, Elder involvement in PE, and looking to the future. The results may serve to inform those with an interest in reflective practices in physical education teacher education (PETE) and/or Aboriginal teacher 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)0.023
metaresearch head score (Gemma)0.034
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.034
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.013
Scholarly communication0.0090.006
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.412
GPT teacher head0.599
Teacher spread0.187 · 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
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

Citations4
Published2019
Admission routes2
Has abstractyes

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