Mind Flex : a high intensity exercise class with cognitive interventions for people
Bibliographic record
Abstract
Those with Parkinson's disease, a neurodegenerative condition, most often present with motor and non-motor symptoms. Occupational therapists treat individuals with Parkinson's to work on their physical well-being, cognition, independence in occupations, quality of life, and social participation. The purpose of this doctoral capstone experience was to design Mind Flex, an eight-week high intensity cycling exercise program with cognition interventions at the Parkinson's Exercise and Wellness Center. Seven participants were chosen for this project. The MoCA and a semi-structured questionnaires were used as primary outcome measures to evaluate general cognition before and after participants took part in the Mind Flex classes. The average MoCA pre-intervention score was 23/30 and the average MoCA post-intervention score was 22/30. All cognitive domain averages from the semi-structured questionnaire increased, indicating a higher confidence regarding completing cognitive tasks. The qualitative responses were analyzed for concurrent themes between fighters and the site mentor. The Mind Flex exercise plans were provided to the Parkinson's Exercise and Wellness Center for continued use and improvement of participants' symptoms because of Parkinson's Disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".