Centre of the house: youthful dominance and the creation of curling’s age order
Bibliographic record
Abstract
Canadian curling, traditionally one of the only nationally celebrated sports to venerate the bodies of old(er) athletes, has shifted its emphasis to the bodies of the young and visibly fit (Allain and Marshall Citation2018). We argue that this change not only brings curling in line with most other sports, but signals a new alignment with an age order privileging youth in sport. Exploring the performance of curling (via interviews with older men who curl), the institutional apparatus around curling (via Curling Canada annual reports) and the representation of curling (via media coverage of older curlers), we find that all of these facets of the sport evince a sporting age order that displaces the old, positioning them at best as inspirations to youthful (and thus more important) curlers, and at worst as symbols of the decaying relevance of the sport.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".