The Use of Imagery by Athletes during Injury Rehabilitation
Bibliographic record
Abstract
Objectives: To determine whether athletes use motivational and cognitive imagery during injury rehabilitation and to develop an instrument for measuring imagery use. Design: A survey concerning imagery use during rehabilitation was administered to injured athletes. Setting: The Fowler Kennedy Sport Medicine Clinic in London, Ontario, Canada. Participants: Injured athletes ( N = 71) receiving physiotherapy. Main Outcome Measure: The Athletic Injury Imagery Questionnaire (AIIQ). Results: As hypothesized, 2 distinct factors emerged from the items on the AIIQ: motivational and cognitive imagery. Motivational imagery was used more often than cognitive imagery in this context, yet less frequently than in other sport situations (eg, training and competition). Conclusions: The study indicates that the AIIQ is a potentially useful tool through which physiotherapists and sport psychologists can examine athletes' use of imagery in injury rehabilitation.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".