Investigating the Efficacy of an Harness Café Program on Traumatic Brain Injury Survivors - A Case Series
Bibliographic record
Abstract
The University of Central Florida’s Knights on the Go Café offers survivors of Traumatic Brain Injury (TBI) the opportunity to rehabilitate in an immersive real world environment. Participants are able to work on integrating skills from multiple domains; including physical, cognitive, and social domains. The cafe is equipped with an overhead harness system allowing for mobility without the risk of fall or injury. The purpose of this study was to examine the impact of the harness café on functional outcome measures in participants over time. Impact was examined through a retrospective analysis of programmatic data including: 6 Minute Walk Test (6MWT), Functional Reach Test/Modified Functional Reach Test, Dynamic Gait Index (DGI), Timed Up and Go (TUG), 9-hole peg test (9HPT), and Montreal Cognitive Assessment (MoCA). Data was collected for 3 participants between February 2016 and December 2017. Participant A1 improved on MoCA and TUG . Participant A2 made significant improvements in DGI, TUG, and 9HPT scores. Participant D improved with two of the four TUG conditions and 6MWT. Overall, participants had varied improvements in performance on the functional outcome measures. The immersive environment of the harness cafe may improve functional outcomes when physical therapy is no longer available. Additionally, the Knights on the Go Harness Café may be able to provide meaningful social relationships through observation and subjective reporting.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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 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".