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Record W3019879979 · doi:10.1177/1356336x20915936

Dodgeball: Inadvertently teaching oppression in physical and health education

2020· article· en· W3019879979 on OpenAlex
Joy Butler, David P. Burns, Claire Robson

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.

Bibliographic record

VenueEuropean Physical Education Review · 2020
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsSimon Fraser UniversityKwantlen Polytechnic UniversityUniversity of British Columbia
Fundersnot available
KeywordsOppressionPhysical educationDistancingPsychologyVirtueDominance (genetics)SociologyPedagogyVirtue ethicsAggressionSocial psychologyCurriculumEpistemologyLawMedicineCoronavirus disease 2019 (COVID-19)Political science

Abstract

fetched live from OpenAlex

Though students can learn a great deal about ethics as they play sport, the authors of this article ask what, exactly, they learn from playing dodgeball. As they look beyond the usual arguments offered for and against the teaching of the game, they view it through three ethical lenses: the ethic of care, the ethic of anti-oppressive education, and the ethics of virtue. They conclude that in terms of modelling, confirming, and practising caring behaviours, or offering opportunities to discuss and process what might be considered fair, dodgeball can be considered miseducative. They further argue that the hidden curriculum of dodgeball reinforces the five faces of oppression defined by the feminist theorist Iris Young as marginalization, powerlessness, and the helplessness of those perceived as weaker individuals through the exercise of violence and dominance by those who are considered more powerful. They conclude that the playing of dodgeball habituates the practice of aggression and fails to contribute positively to an ethical 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.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.721
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.001

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 head0.142
GPT teacher head0.523
Teacher spread0.381 · 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