The Athletic Body: Eating Disorders in Canadian Sport History
Bibliographic record
Abstract
Eating disorders in Canadian sport are and have been an ongoing issue for some time. In recent years, more research and education programs directed at athletes and their peers have been implemented. However, the topic has never been subjected to thorough historical analysis, specifically in Canadian history. The purpose of this research was to gain a complete understanding of sport-related eating disorder development in Canada.\nTo construct a social history analysis of eating disorders in Canadian sport, the exploration of Canadian policy statements, archived media sources, general history of eating disorders, and autobiographical accounts by Canadian athletes was conducted. The results showed that eating disorders were not a new condition in Canadian sport and there was an extreme lack of understanding on the topic. The causation of eating disorders and the way they were addressed in the media was relatively stigmatized in the past, halting any advancement in understanding, and consequently historical research on the topic.\nThe results suggest that the accessibility and conduction of further research must increase on this topic in Canada, as very few Canadian history-based resources are available to the public. With a greater understanding of the development throughout time, Canadian sport policymakers and the general public will be able to utilize the experiences of past athletes to make current intervention programs more relatable for Canadians involved in sport today.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".