Dodgeball: Teaching the five faces of oppression?
Bibliographic record
Abstract
In this presentation, we, the authors, look beyond the usual arguments offered for and against the teaching of the game of dodgeball in physical education as we view it through three ethical lenses: the ethic of care (Noddings, 1994, 1999, 2002), the ethic of anti-oppressive education (Young, 1990), and the ethics of virtue (Aristotle, 1999; Varela, 1999). We conclude that in terms of modeling, confirming, and practicing caring behaviours, or offering opportunities to discuss and process what might be considered fair, dodgeball can be considered miseducative. We further argue that the hidden curriculum of dodgeball reinforces the five faces of oppression defined by Young as marginalization, powerlessness, and helplessness of those perceived as weaker individuals through the exercise of violence and dominance by those who are considered more powerful.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".