“I’m aging faster”: social participation as experienced by individuals aging with a traumatic brain injury
Bibliographic record
Abstract
OBJECTIVES: 1) To get an insight into the experience of aging with traumatic brain injury (TBI), and 2) explore intervention avenues perceived as promising for the social participation of this population. METHOD: Through an exploratory descriptive study, in-depth semi-structured interviews were conducted with aging TBI survivors recruited in a nonprofit community organization whose mission is to support the social participation of people living with TBI. Thematic analysis was done on qualitative data, using a hybrid approach of deductive and inductive analysis. RESULTS: Ten aging TBI survivors with an average age of 64.9 years were interviewed. Participants expressed the perception of declining faster and with greater limitations than their fellow seniors unchallenged by TBI but also of having social participation opportunities due to their condition. A list of ten facilitators (e.g., doing activities in synch with life story) and five barriers (e.g., unequal levels of disability) to their social participation emerged. CONCLUSION: Social participation is crucial to TBI-affected individuals' healthy aging. Nonprofit community organizations should offer opportunities for participation, mobilize environmental resources, foster self-confidence, and support the achievement of meaningful personal projects to enable the social participation of people aging with TBI.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".