The Use of a Trained Dog as a Gait Aid for Clients with Ataxia: A Case Report
Bibliographic record
Abstract
PURPOSE: To illustrate the use of a trained dog as a therapeutic tool to optimize physical and psychosocial adaptation of clients with ataxia. METHOD: The gait pattern and gait speed of two people with cerebellar ataxia using different gait aids, including a trained intervention dog and an assistance dog, were compared. Participants' experience of working with the dogs was documented via semi-structured interviews. RESULTS: The use of an intervention dog as part of rehabilitation allowed clients to explore the benefits of an assistance dog and to optimize their physical functioning. The assistance dog had a less destabilizing effect than other walking aids on the clients' self-image. CONCLUSION: Trained dogs may represent an innovative and positive alternative for mobility for people with ataxia, improving both physical and psychosocial parameters. Assistance dogs seem to be a suitable gait aid, since they facilitate ambulation, promoting independent mobility.
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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 | 0.000 | 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 | 0.000 |
| 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".