Enhancing Leisure Experiences Post Traumatic Brain Injury: A Pilot Study
Bibliographic record
Abstract
Abstract Up to 90% of people with severe traumatic brain injury (TBI) report dissatisfaction with the status of their leisure participation and/or social integration. Yet, there are virtually no studies that have investigated the benefits of interventions that target leisure specifically for this population. The purpose of this study was to determine whether the Leisure Education Program (Carbonneau, Fontaine, & Lussier, 2006) designed to assist people with stroke to engage in meaningful leisure activities, build leisure self-efficacy and promote general wellbeing would have similar benefits for survivors of TBI. We recruited three community-dwelling survivors of TBI to participate in a 10-week leisure program. All three participants reported some benefit in leisure satisfaction and self-efficacy. This extended to improvements in general wellbeing and health-related quality of life for two of the three. These findings suggest that further investigations into the benefits of leisure education for adults with TBI should be conducted.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".