Differences in social participation between individuals who do and do not attend brain injury drop-in centres: A preliminary study
Bibliographic record
Abstract
OBJECTIVE: To compare social participation for individuals with traumatic brain injury (TBI) ≥1 year post-injury who attend brain injury drop-in centres (BIDCs) with individuals who do not attend but were identified as potentially benefitting from attending. RESEARCH DESIGN: Cross-sectional study with 23 individuals attending BIDCs and a comparison group of 19 individuals not attending. KEY OUTCOME MEASURES: Community Integration Questionnaire, Social Provisions Scale and Adult Subjective Assessment of Participation. MAIN RESULTS: The comparison group was found to consist of 12 participants who stated that they would attend a BIDC ('Yes sub-group') and seven participants who stated that maybe they would attend a BIDC but for the most part were too busy ('Maybe sub-group'). The BIDC group was found to have statistically significantly higher levels of social participation than the comparison group and particularly the 'Yes sub-group'. CONCLUSIONS: Findings provide support that attendance at BIDCs may benefit social participation. Future directions for research are suggested.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".