The Effects of Cognitive General Imagery Use on Decision Accuracy and Speed in Curling
Bibliographic record
Abstract
The purpose of this study was to examine the effects of a 6-week CG imagery intervention on strategic decision-making in curling. A secondary purpose was to determine whether curlers’ imagery ability and CG imagery use would be improved. Eleven varsity curlers from a Canadian postsecondary institution engaged in weekly guided imagery sessions that were held at the curling club before their regularly scheduled team practices. Curlers’ response times on a computerized curling strategy assessment significantly improved from baseline to post-intervention ( p < .05). In addition, their kinesthetic imagery ability, CG imagery use, and MG-M imagery use significantly increased ( p < .05). These results suggest that when curlers are exposed to new scenarios, they learn to store, process, and retrieve relevant information quicker (Simon & Chase, 1973). From a practical standpoint, CG imagery training can improve curlers’ strategy performance, including their ability to use various strategies in game situations.
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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 | 0.001 |
| 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".