Boys, bodies, and bullying in health and physical education class: implications for participation and well-being
Bibliographic record
Abstract
In Ontario, Canada, adolescent boys are increasingly developing a disinterest towards health and physical education (HPE) class, and also are withdrawing from HPE as soon as they institutionally are allowed to do so. To date however, there has been a dearth of research that has explored the various mechanisms that are dissuading boys from active participation, and prompting boys to develop a cultural disaffection towards HPE. Drawing on data from an ethnographic case study, this paper begins to provide some insights in further understanding the emerging disaffection towards HPE, and increasing attrition rates among Canadian boys. As illustrated in the study findings, this paper suggests that boys who disengage from HPE do so not because they are genetically predisposed to be lazy, or are unmotivated. Rather, their repeated experiences of explicit and symbolic abuse, degradation, and ignominy from teachers and peers alike dissuade them from active HPE participation. The findings of this study suggest the need for teachers to initiate a reflexive stance in their teaching practices, while concomitantly teaching students critical health literacy skills in an effort to meet the health and well-being needs of adolescent boys.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".