Use of Occupation-Based Measures in LSVT BIG Research: A Case Study
Bibliographic record
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder that results in a variety of motor and nonmotor symptoms that impact occupational performance. To our knowledge, no study has investigated the effect of LSVT BIG using occupational performance outcome measures. The objective of this study was to determine the effects of LSVT BIG on occupational performance with an individual with PD. The participant, a 73-year-old retired female with mild PD, completed the LSVT BIG program. Researchers measured changes in occupational performance using the Canadian Occupational Performance Measure (COPM) and the Performance Assessment of Self-Care Skills (PASS). Results indicated improved client perceptions of occupational performance and satisfaction on the COPM and improved independence and adequacy on the PASS. Despite the positive findings of this study that support the use occupational performance measures to evaluate change within LSVT BIG literature, future research should be conducted to determine causality of identified occupational performance improvements and time course of improvements.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".