Empathic engineering design for accessibility for deaf curling athletes
Bibliographic record
Abstract
urling is a sport likened to lawn bowls, boules, and shuffleboard, but played on ice. Players take turns sliding large, smooth granite stones, or rocks, down a large sheet of ice toward a target area made up of four concentric rings, known as the 'house'. Two teams, each comprising four players, have eight stones. Each player delivers two stones alternately with an opponent. The players throw their stones from one end of the 156ft-long curling 'sheet' to the other. The aim is to get more stones closer to the centre of the target, or 'button', than your opponent. When a player throws a stone, two of their teammates use brooms to sweep the ice in front of the sliding stone. Sweeping decreases the friction and changes both the stone's trajectory and the distance it travels. The team captain, or 'skip', yells sweeping instructions to guide the sweepers, telling which sweeper, or both, is to sweep hard, lightly, or not at all.
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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 | 0.008 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| 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".