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A Comparison of virtual physical education teacher education experiences in Brasilia and Ottawa: learning together in COVID-19 times

2024· article· en· W4404901212 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInterfaces Brasil/Canadá · 2024
Typearticle
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Mathematics education2019-20 coronavirus outbreakPedagogyPsychologySociologyMedicineVirology

Abstract

fetched live from OpenAlex

The COVID-19 pandemic inspired changes in the way we teach and think about the curriculum of physical education (PE). This comparative inquiry pays particular attention to the ways PE was introduced in two university teacher education programs, one based in Brasilia-Brazil and the other in Ottawa-Canada. The three dimensions which guided our comparative analysis included: a) our respective COVID-19 circumstances, b) the PE Elementary Curriculum which we introduce to our teacher education students, and c) our course plan for teaching Physical Education Teacher Education (PETE) students from August to December of 2020. Despite the difficulty of going through the trauma brought forth by COVID-19, this article reveals how three academics came together to co-create, share, and compare their PETE practice which integrated technology, virtual games, break-out room discussions and social media challenges. Through ongoing dialogue and an openness to learn from each other, this comparative inquiry created an opportunity for an exchange of ideas, support and hope for the future of PETE.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.067
GPT teacher head0.525
Teacher spread0.458 · 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