Change in Social Participation of Adults with Spinal Cord Injury During the First Two Waves of the COVID-19 Pandemic in Canada
Bibliographic record
Abstract
Abstract Introduction The change in environmental and social context measures during the COVID-19 pandemic affected daily activities of people with spinal cord injury (SCI), their interactions within the community, and consequently their social participation during the first wave of the pandemic. However, there is little information about the changes in social participation as the pandemic evolved in Canada. Objective: To describe the change in social participation of adults with SCI after the first two years of the COVID-19 pandemic in Canada. Methods A follow-up from a previous study exploring the social participation of adults with SCI living during the first wave was conducted eight months later (second wave). Social participation was measured using the Assessment of Life Habits (LIFE-H 4.0) and Measure of Quality of the Environment (MQE) among 18 adults with SCI. Results Participants reported increases between both waves of COVID-19 in life habits categories, including mobility, personal care and health, nutrition, and recreation. New environmental factors were identified as facilitators, including the increased availability of businesses in the community. Conclusion These findings suggest that people with SCI increased fulfillment and satisfaction of certain life habits. Reduced environmental barriers and increased facilitators improved social participation as the pandemic evolved.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".